Chuan Shi

397 papers A* 96A 38B 7C 8Misc 1Journal 170Unranked 73
YearRankTypeTitle / Venue / Authors
2026 A conf
C
WSDM
Yue Yu, Ting Bai, HengZhi Lan, Li Qian, Li Peng, Jie Wu, Wei Liu, Jian Luan, Chuan Shi
2026 J jnl
C
CoRR
Yue Yu, Ting Bai, HengZhi Lan, Li Qian, Li Peng, Jie Wu, Wei Liu, Jian Luan, Chuan Shi
2026 J jnl
Data-centric Prompt Tuning for Dynamic Graphs.
CoRR
Yufei Peng, Cheng Yang, Zhengjie Fan, Chuan Shi
2026 J jnl
Disentangled Graph Prompting for Out-Of-Distribution Detection.
CoRR
Cheng Yang, Yu Hao, Qi Zhang, Chuan Shi
2026 A* conf
FRiskGPT: A Generative Foundation Model for Financial Risk Detection.
WWW
Zhongjian Zhang, Mengmei Zhang, Dehua Xu, Rongjun Shi, Jianfeng Liu, Fuli Meng, Huajian Xu, Xiao Wang, Ruijia Wang, Junze Chen, Minwei Tang, Chuan Shi
2026 J jnl
GNNVerifier: Graph-based Verifier for LLM Task Planning.
CoRR
Yu Hao, Qiuyu Wang, Cheng Yang, Yawen Li, Zhiqiang Zhang, Chuan Shi
2026 J jnl
Graph Tokenization for Bridging Graphs and Transformers.
CoRR
Zeyuan Guo, Enmao Diao, Cheng Yang, Chuan Shi
2026 J jnl
Joint task and distribution generalization via graph substructure prompting.
Frontiers Comput. Sci.
Yuluo Chen, Jixi Liu, Cheng Yang, Ya-Wen Li, Ting Bai, Chuan Shi
2026 J jnl
MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing.
CoRR
Yang Liu, Jinxuan Cai, Yishen Li, Qi Meng, Zedi Liu, Xin Li, Chen Qian, Chuan Shi, Cheng Yang
2026 J jnl
Multimodal Generative Retrieval Model with Staged Pretraining for Food Delivery on Meituan.
CoRR
Boyu Chen, Tai Guo, Weiyu Cui, Yuqing Li, Xingxing Wang, Chuan Shi, Cheng Yang
2026 A* conf
PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths.
AAAI
Boyu Chen, Zirui Guo, Zidan Yang, Yuluo Chen, Junze Chen, Zhenghao Liu, Chuan Shi, Cheng Yang
2026 J jnl
Relational In-Context Learning via Synthetic Pre-training with Structural Prior.
CoRR
Yanbo Wang, Jiaxuan You, Chuan Shi, Muhan Zhang
2026 A* conf
Riemannian Graph Tokenizer for Structural Knowledge Transfer.
WWW
Qimin Zhou, Haibo Liu, Yujie Wang, Li Sun, Chuan Shi
2026 A* conf
Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems.
WWW
Bo Yan, Yurong Hao, Dingqi Liu, Huabin Sun, Pengpeng Qiao, Wei Yang Bryan Lim, Yang Cao, Chuan Shi
2026 A* conf
Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning.
WWW
Zhongjian Zhang, Xiao Wang, Mengmei Zhang, Jiarui Tan, Chuan Shi
2026 J jnl
Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning.
CoRR
Zhongjian Zhang, Xiao Wang, Mengmei Zhang, Jiarui Tan, Chuan Shi
2025 — conf
Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment.
KDD (2)
Yibo Li, Yuan Fang, Mengmei Zhang, Chuan Shi
2025 — conf
Artificial Intelligence for Complex Network: Potential, Methodology and Application.
WWW (Companion Volume)
Jingtao Ding, Yu Zheng, Huandong Wang, Carlo Vittorio Cannistraci, Jianxi Gao, Yong Li, Chuan Shi
2025 J jnl
AuCoGNN: Enhancing Graph Fairness Learning Under Distribution Shifts With Automated Graph Generation.
IEEE Trans. Knowl. Data Eng.
Xiao Wang, Yibo Li, Yujie Xing, Shaohua Fan, Chuan Shi
2025 — conf
Benchmarking Graph Foundation Models.
KDD (2)
Jinyu Yang, Liangwei Yang, Zeyuan Guo, Jiayi Gao, Jing Wu, Tianhao Chai, Hai Huang, Cheng Yang, Chuan Shi
2025 A* conf
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction.
AAAI
Xinlong Zhai, Chunchen Wang, Ruijia Wang, Jiazheng Kang, Shujie Li, Boyu Chen, Tengfei Ma, Zikai Zhou, Cheng Yang, Chuan Shi
2025 J jnl
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction.
CoRR
Xinlong Zhai, Chunchen Wang, Ruijia Wang, Jiazheng Kang, Shujie Li, Boyu Chen, Tengfei Ma, Zikai Zhou, Cheng Yang, Chuan Shi
2025 A conf
BurstEngine: An efficient distributed framework for training transformers On extremely Long sequences of over 1M tokens.
SC
Ao Sun, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun
2025 J jnl
BurstEngine: an Efficient Distributed Framework for Training Transformers on Extremely Long Sequences of over 1M Tokens.
CoRR
Ao Sun, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun
2025 A* conf
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models.
SIGIR
Junze Chen, Xinjie Yang, Cheng Yang, Junfei Bao, Zeyuan Guo, Yawen Li, Chuan Shi
2025 J jnl
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models.
CoRR
Junze Chen, Xinjie Yang, Cheng Yang, Junfei Bao, Zeyuan Guo, Yawen Li, Chuan Shi
2025 — conf
Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
KDD (1)
Zhongjian Zhang, Xiao Wang, Huichi Zhou, Yue Yu, Mengmei Zhang, Cheng Yang, Chuan Shi
2025 J jnl
Data-Centric Graph Learning: A Survey.
IEEE Trans. Big Data
Yuxin Guo, Deyu Bo, Cheng Yang, Zhiyuan Lu, Zhongjian Zhang, Jixi Liu, Yufei Peng, Chuan Shi
2025 J jnl
Data-centric Federated Graph Learning with Large Language Models.
CoRR
Bo Yan, Zhongjian Zhang, Huabin Sun, Mengmei Zhang, Yang Cao, Chuan Shi
2025 A conf
Data-centric Prompt Tuning for Dynamic Graphs.
CIKM
Yufei Peng, Cheng Yang, Zhengjie Fan, Chuan Shi
2025 J jnl
Efficient Multi-task Prompt Tuning for Recommendation.
ACM Trans. Inf. Syst.
Ting Bai, Le Huang, Yue Yu, Cheng Yang, Cheng Hou, Zhe Zhao, Chuan Shi
2025 — conf
Exploring the Potential of Large Language Models for Heterophilic Graphs.
NAACL (Long Papers)
Yuxia Wu, Shujie Li, Yuan Fang, Chuan Shi
2025 — conf
FLAG: Fraud Detection with LLM-enhanced Graph Neural Network.
KDD (2)
Chengdong Yang, Hongrui Liu, Daixin Wang, Zhiqiang Zhang, Cheng Yang, Chuan Shi
2025 A* conf
Federated Graph Condensation with Information Bottleneck Principles.
AAAI
Bo Yan, Sihao He, Cheng Yang, Shang Liu, Yang Cao, Chuan Shi
2025 J jnl
ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA.
CoRR
Zhengyuan Shi, Zeju Li, Chengyu Ma, Yunhao Zhou, Ziyang Zheng, Jiawei Liu, Hongyang Pan, Lingfeng Zhou, Kezhi Li, Jiaying Zhu, Lingwei Yan, Zhiqiang He, Chenhao Xue, Wentao Jiang, Fan Yang, Guangyu Sun, Xiaoyan Yang, Gang Chen, Chuan Shi, Zhufei Chu, Jun Yang, Qiang Xu
2025 A conf
Full-Atom Protein-Protein Interaction Prediction via Atomic Equivariant Attention Network.
CIKM
Chunchen Wang, Cheng Yang, Wenchuan Yang, Le Song, Chuan Shi
2025 J jnl
Graph Foundation Models for Recommendation: A Comprehensive Survey.
CoRR
Bin Wu, Yihang Wang, Yuanhao Zeng, Jiawei Liu, Jiashu Zhao, Cheng Yang, Yawen Li, Long Xia, Dawei Yin, Chuan Shi
2025 J jnl
Graph Foundation Models: Concepts, Opportunities and Challenges.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi
2025 — conf
Graph Positional Autoencoders as Self-supervised Learners.
KDD (2)
Yang Liu, Deyu Bo, Wenxuan Cao, Yuan Fang, Yawen Li, Chuan Shi
2025 J jnl
Graph Positional Autoencoders as Self-supervised Learners.
CoRR
Yang Liu, Deyu Bo, Wenxuan Cao, Yuan Fang, Yawen Li, Chuan Shi
2025 J jnl
Graph neural network based time estimator for SAT solver.
Int. J. Mach. Learn. Cybern.
Jiawei Liu, Wenyi Xiao, Hongtao Cheng, Chuan Shi
2025 — conf
GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations.
KDD (2)
Junze Chen, Cheng Yang, Shujie Li, Zhiqiang Zhang, Yawen Li, Junping Du, Chuan Shi
2025 J jnl
GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations.
CoRR
Junze Chen, Cheng Yang, Shujie Li, Zhiqiang Zhang, Yawen Li, Junping Du, Chuan Shi
2025 A* conf
Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer.
AAAI
Jinyu Yang, Ruijia Wang, Cheng Yang, Bo Yan, Qimin Zhou, Yang Juan, Chuan Shi
2025 J jnl
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs.
CoRR
Shujie Li, Yuxia Wu, Chuan Shi, Yuan Fang
2025 A conf
IR-Fusion: A Fusion Framework for Static IR Drop Analysis Combining Numerical Solution and Machine Learning.
DATE
Feng Guo, Jianwang Zhai, Jingyu Jia, Jiawei Liu, Kang Zhao, Bei Yu, Chuan Shi
2025 A* conf
IRGNN: A Graph-based Framework Integrating Numerical Solution and Point Cloud for Static IR Drop Prediction.
DAC
Feng Guo, Yueyue Xi, Jianwang Zhai, Jingyu Jia, Jiawei Liu, Kang Zhao, Chuan Shi
2025 J jnl
Invariant debiasing learning for recommendation via biased imputation.
Inf. Process. Manag.
Ting Bai, Weijie Chen, Cheng Yang, Chuan Shi
2025 — conf
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models.
ICKG
Weijie Chen, Ting Bai, Jinbo Su, Jian Luan, Wei Liu, Chuan Shi
2025 — conf
MILS: Modality Interaction Driven Learning for Logic Synthesis.
ACM Great Lakes Symposium on VLSI
Mingyu Zhao, Jiawei Liu, Jianwang Zhai, Chuan Shi
2025 J jnl
Masked Language Models are Good Heterogeneous Graph Generalizers.
CoRR
Jinyu Yang, Cheng Yang, Shanyuan Cui, Zeyuan Guo, Liangwei Yang, Muhan Zhang, Chuan Shi
2025 — conf
PIRLLS: Pretraining with Imitation and RL Finetuning for Logic Synthesis.
ASP-DAC
Guande Dong, Jianwang Zhai, Hongtao Cheng, Xiao Yang, Chuan Shi, Kang Zhao
2025 J jnl
PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths.
CoRR
Boyu Chen, Zirui Guo, Zidan Yang, Yuluo Chen, Junze Chen, Zhenghao Liu, Chuan Shi, Cheng Yang
2025 J jnl
Phantom Subgroup Poisoning: Stealth Attacks on Federated Recommender Systems.
CoRR
Bo Yan, Yurong Hao, Dingqi Liu, Huabin Sun, Pengpeng Qiao, Wei Yang Bryan Lim, Yang Cao, Chuan Shi
2025 — conf
Prompt-Tuning on Heterogeneous Information Networks for Cold-Start Recommendation.
ADMA (4)
Junfei Bao, Yanhu Mo, Bo Yan, Hai Huang, Chuan Shi
2025 A* conf
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective.
AAAI
Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi
2025 J jnl
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective.
CoRR
Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi
2025 J jnl
Self-Evolving LLMs via Continual Instruction Tuning.
CoRR
Jiazheng Kang, Le Huang, Cheng Hou, Zhe Zhao, Zhenxiang Yan, Chuan Shi, Ting Bai
2025 — conf
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training.
NAACL (Long Papers)
Sun Ao, Weilin Zhao, Xu Han, Cheng Yang, Xinrong Zhang, Zhiyuan Liu, Chuan Shi, Maosong Sun
2025 J jnl
Towards Text-free Graph Foundation Models: Rethinking Multi-Domain Graph Contrastive Learning.
CoRR
Zihao Zhao, Xinlong Zhai, Jinyu Yang, Chuan Shi
2025 A conf
Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits.
ICCAD
Shan Shen, Shenglu Hua, Jiajun Zou, Jiawei Liu, Jianwang Zhai, Chuan Shi, Wenjian Yu
2025 J jnl
Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits.
CoRR
Shan Shen, Shenglu Hua, Jiajun Zou, Jiawei Liu, Jianwang Zhai, Chuan Shi, Wenjian Yu
2025 J jnl
Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework.
CoRR
Yujie Xing, Xiao Wang, Bin Wu, Hai Huang, Chuan Shi
2025 A conf
WideGate: Beyond Directed Acyclic Graph Learning in Subcircuit Boundary Prediction.
DATE
Jiawei Liu, Zhiyan Liu, Xun He, Jianwang Zhai, Zhengyuan Shi, Qiang Xu, Bei Yu, Chuan Shi
2024 A* conf
A Generalized Neural Diffusion Framework on Graphs.
AAAI
Yibo Li, Xiao Wang, Hongrui Liu, Chuan Shi
2024 J jnl
Adaptive negative representations for graph contrastive learning.
AI Open
Qi Zhang, Cheng Yang, Chuan Shi
2024 — conf
Adaptively Denoising Graph Neural Networks for Knowledge Distillation.
ECML/PKDD (8)
Yuxin Guo, Cheng Yang, Chuan Shi, Ke Tu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
2024 A* conf
Advancing Molecule Invariant Representation via Privileged Substructure Identification.
KDD
Ruijia Wang, Haoran Dai, Cheng Yang, Le Song, Chuan Shi
2024 J jnl
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences.
CoRR
Sun Ao, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun, Shengnan Wang, Teng Su
2024 A* conf
Calibrating Graph Neural Networks from a Data-centric Perspective.
WWW
Cheng Yang, Chengdong Yang, Chuan Shi, Yawen Li, Zhiqiang Zhang, Jun Zhou
2024 A* conf
Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models.
NeurIPS
Xin Li, Weize Chen, Qizhi Chu, Haopeng Li, Zhaojun Sun, Ran Li, Chen Qian, Yiwei Wei, Chuan Shi, Zhiyuan Liu, Maosong Sun, Cheng Yang
2024 J jnl
Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models.
CoRR
Xin Li, Weize Chen, Qizhi Chu, Haopeng Li, Zhaojun Sun, Ran Li, Chen Qian, Yiwei Wei, Zhiyuan Liu, Chuan Shi, Maosong Sun, Cheng Yang
2024 J jnl
Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
CoRR
Zhongjian Zhang, Xiao Wang, Huichi Zhou, Yue Yu, Mengmei Zhang, Cheng Yang, Chuan Shi
2024 J jnl
Cross-view hypergraph contrastive learning for attribute-aware recommendation.
Inf. Process. Manag.
Ang Ma, Yanhua Yu, Chuan Shi, Zirui Guo, Tat-Seng Chua
2024 A* conf
Customizing Graph Neural Network for CAD Assembly Recommendation.
KDD
Fengqi Liang, Huan Zhao, Yuhan Quan, Wei Fang, Chuan Shi
2024 J jnl
Debiased Graph Neural Networks With Agnostic Label Selection Bias.
IEEE Trans. Neural Networks Learn. Syst.
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
2024 J jnl
Distance Information Improves Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Chuan Shi, Houye Ji, Zhiyuan Lu, Ye Tang, Pan Li, Cheng Yang
2024 J jnl
Efficient Multi-task Prompt Tuning for Recommendation.
CoRR
Ting Bai, Le Huang, Yue Yu, Cheng Yang, Cheng Hou, Zhe Zhao, Chuan Shi
2024 — conf
Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval.
ICKG
Le Huang, HengZhi Lan, Zijun Sun, Chuan Shi, Ting Bai
2024 J jnl
Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval.
CoRR
Le Huang, HengZhi Lan, Zijun Sun, Chuan Shi, Ting Bai
2024 A* conf
Endowing Pre-trained Graph Models with Provable Fairness.
WWW
Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi
2024 J jnl
Endowing Pre-trained Graph Models with Provable Fairness.
CoRR
Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi
2024 J jnl
Exploring the Potential of Large Language Models for Heterophilic Graphs.
CoRR
Yuxia Wu, Shujie Li, Yuan Fang, Chuan Shi
2024 A* conf
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization.
AAAI
Cheng Yang, Jixi Liu, Yunhe Yan, Chuan Shi
2024 J jnl
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization.
CoRR
Cheng Yang, Jixi Liu, Yunhe Yan, Chuan Shi
2024 A* conf
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation.
WWW
Bo Yan, Yang Cao, Haoyu Wang, Wenchuan Yang, Junping Du, Chuan Shi
2024 J jnl
FineMolTex: Towards Fine-grained Molecular Graph-Text Pre-training.
CoRR
Yibo Li, Yuan Fang, Mengmei Zhang, Chuan Shi
2024 J jnl
Generalizing Graph Neural Networks on Out-of-Distribution Graphs.
IEEE Trans. Pattern Anal. Mach. Intell.
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
2024 A* conf
Graph Contrastive Invariant Learning from the Causal Perspective.
AAAI
Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi
2024 J jnl
Graph Contrastive Invariant Learning from the Causal Perspective.
CoRR
Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi
2024 A* conf
Graph Distillation with Eigenbasis Matching.
ICML
Yang Liu, Deyu Bo, Chuan Shi
2024 A* conf
Graph Fairness Learning under Distribution Shifts.
WWW
Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi
2024 J jnl
Graph Fairness Learning under Distribution Shifts.
CoRR
Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi
2024 A* conf
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization.
AAAI
Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi
2024 J jnl
Graph Mining for Cybersecurity: A Survey.
ACM Trans. Knowl. Discov. Data
Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du
2024 J jnl
Graph foundation model.
Frontiers Comput. Sci.
Chuan Shi, Junze Chen, Jiawei Liu, Cheng Yang
2024 J jnl
GraphLoRA: Empowering LLMs Fine-Tuning via Graph Collaboration of MoE.
CoRR
Ting Bai, Yue Yu, Le Huang, Zenan Xu, Zhe Zhao, Chuan Shi
2024 J jnl
GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration.
CoRR
Xin Li, Qizhi Chu, Yubin Chen, Yang Liu, Yaoqi Liu, Zekai Yu, Weize Chen, Chen Qian, Chuan Shi, Cheng Yang
2024 A* conf
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks.
WWW
Mengmei Zhang, Mingwei Sun, Peng Wang, Shen Fan, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Cheng Yang, Chuan Shi
2024 J jnl
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks.
CoRR
Mengmei Zhang, Mingwei Sun, Peng Wang, Shen Fan, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Cheng Yang, Chuan Shi
2024 J jnl
Group-to-group recommendation with neural graph matching.
World Wide Web (WWW)
Chunchen Wang, Wei Wang, Cheng Yang, Chuan Shi, Ruobing Xie, Yuanfu Lu, Haili Yang, Xu Zhang
2024 A* conf
Heterogeneous Graph Transformer with Poly-Tokenization.
IJCAI
Zhiyuan Lu, Yuan Fang, Cheng Yang, Chuan Shi
2024 J jnl
Invariant debiasing learning for recommendation via biased imputation.
CoRR
Ting Bai, Weijie Chen, Cheng Yang, Chuan Shi
2024 J jnl
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models.
CoRR
Weijie Chen, Ting Bai, Jinbo Su, Jian Luan, Wei Liu, Chuan Shi
2024 J jnl
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization.
CoRR
Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi
2024 — conf
Learning Social Graph for Inactive User Recommendation.
DASFAA (6)
Nian Liu, Shen Fan, Ting Bai, Peng Wang, Mingwei Sun, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Chuan Shi
2024 J jnl
Learning Social Graph for Inactive User Recommendation.
CoRR
Nian Liu, Shen Fan, Ting Bai, Peng Wang, Mingwei Sun, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Chuan Shi
2024 — conf
Lecture-style Tutorial: Towards Graph Foundation Models.
WWW (Companion Volume)
Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu
2024 A* conf
Less is More: on the Over-Globalizing Problem in Graph Transformers.
ICML
Yujie Xing, Xiao Wang, Yibo Li, Hai Huang, Chuan Shi
2024 J jnl
Less is More: on the Over-Globalizing Problem in Graph Transformers.
CoRR
Yujie Xing, Xiao Wang, Yibo Li, Hai Huang, Chuan Shi
2024 J jnl
Minimum Topology Attacks for Graph Neural Networks.
CoRR
Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du
2024 J jnl
Non-autoregressive Personalized Bundle Generation.
CoRR
Wenchuan Yang, Cheng Yang, Jichao Li, Yuejin Tan, Xin Lu, Chuan Shi
2024 J jnl
Non-autoregressive personalized bundle generation.
Inf. Process. Manag.
Wenchuan Yang, Cheng Yang, Jichao Li, Yuejin Tan, Xin Lu, Chuan Shi
2024 — conf
PGAU: Static IR Drop Analysis for Power Grid using Attention U-Net Architecture and Label Distribution Smoothing.
ACM Great Lakes Symposium on VLSI
Feng Guo, Jiawei Liu, Jianwang Zhai, Jingyu Jia, Kang Zhao, Chuan Shi
2024 A conf
PolarGate: Breaking the Functionality Representation Bottleneck of And-Inverter Graph Neural Network.
ICCAD
Jiawei Liu, Jianwang Zhai, Mingyu Zhao, Zhe Lin, Bei Yu, Chuan Shi
2024 J jnl
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training.
CoRR
Sun Ao, Weilin Zhao, Xu Han, Cheng Yang, Xinrong Zhang, Zhiyuan Liu, Chuan Shi, Maosong Sun
2024 J jnl
Unifying Graph Neural Networks with a Generalized Optimization Framework.
ACM Trans. Inf. Syst.
Chuan Shi, Meiqi Zhu, Yue Yu, Xiao Wang, Junping Du
2024 A* conf
Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks?
USENIX Security Symposium
Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou, Lichao Sun
2023 A* conf
A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability.
KDD
Yuxin Guo, Cheng Yang, Yuluo Chen, Jixi Liu, Chuan Shi, Junping Du
2023 J jnl
A Generalized Neural Diffusion Framework on Graphs.
CoRR
Yibo Li, Xiao Wang, Hongrui Liu, Chuan Shi
2023 A* conf
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks.
WWW
Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu
2023 J jnl
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks.
CoRR
Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu
2023 J jnl
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources.
IEEE Trans. Big Data
Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
2023 J jnl
A Survey on Spectral Graph Neural Networks.
CoRR
Deyu Bo, Xiao Wang, Yang Liu, Yuan Fang, Yawen Li, Chuan Shi
2023 A conf
Abnormal Event Detection via Hypergraph Contrastive Learning.
SDM
Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu, Xiaochen Wang
2023 J jnl
Abnormal Event Detection via Hypergraph Contrastive Learning.
CoRR
Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu, Xiaochen Wang
2023 — book
Advances in Graph Neural Networks
Chuan Shi, Xiao Wang, Cheng Yang
2023 J jnl
An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network.
IEEE ACM Trans. Comput. Biol. Bioinform.
Weizhong Zhao, Wenjie Yao, Xingpeng Jiang, Tingting He, Chuan Shi, Xiaohua Hu
2023 Misc conf
Clustering-Based Supervised Contrastive Learning for Identifying Risk Items on Heterogeneous Graph.
ICASSP
Ao Li, Yugang Ji, Guanyi Chu, Xiao Wang, Dong Li, Chuan Shi
2023 J jnl
Data-centric Graph Learning: A Survey.
CoRR
Cheng Yang, Deyu Bo, Jixi Liu, Yufei Peng, Boyu Chen, Haoran Dai, Ao Sun, Yue Yu, Yixin Xiao, Qi Zhang, Chunchen Wang, Yuxin Guo, Chuan Shi
2023 A conf
Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks.
CIKM
Yijian Liu, Hongyi Zhang, Cheng Yang, Ao Li, Yugang Ji, Luhao Zhang, Tao Li, Jinyu Yang, Tianyu Zhao, Juan Yang, Hai Huang, Chuan Shi
2023 A* conf
Directed Acyclic Graph Structure Learning from Dynamic Graphs.
AAAI
Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi
2023 — conf
Duplicate Multi-modal Entities Detection with Graph Contrastive Self-training Network.
ECML/PKDD (2)
Shuyun Gu, Xiao Wang, Chuan Shi
2023 J jnl
Dynamic Meta-path Guided Temporal Heterogeneous Graph Neural Networks.
World Sci. Annu. Rev. Artif. Intell.
Yugang Ji, Chuan Shi, Yuan Fang
2023 — conf
FedValidate: A Robust Federated Learning Framework Based on Client-Side Validation.
DSC
Wenting Zhu, Zhe Liu, Zongyi Chen, Chuan Shi, Xi Zhang, Sanchuan Guo
2023 J jnl
Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks.
IEEE Trans. Neural Networks Learn. Syst.
Cheng Yang, Hao Wang, Jian Tang, Chuan Shi, Maosong Sun, Ganqu Cui, Zhiyuan Liu
2023 A* conf
GammaGL: A Multi-Backend Library for Graph Neural Networks.
SIGIR
Yaoqi Liu, Cheng Yang, Tianyu Zhao, Hui Han, Siyuan Zhang, Jing Wu, Guangyu Zhou, Hai Huang, Hui Wang, Chuan Shi
2023 J jnl
Graph Condensation via Eigenbasis Matching.
CoRR
Yang Liu, Deyu Bo, Chuan Shi
2023 A* conf
Graph Contrastive Learning with Stable and Scalable Spectral Encoding.
NeurIPS
Deyu Bo, Yuan Fang, Yang Liu, Chuan Shi
2023 J jnl
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization.
CoRR
Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi
2023 J jnl
Graph Mining for Cybersecurity: A Survey.
CoRR
Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du
2023 J jnl
Heterogeneous Graph Propagation Network.
IEEE Trans. Knowl. Data Eng.
Houye Ji, Xiao Wang, Chuan Shi, Bai Wang, Philip S. Yu
2023 J jnl
Heterogeneous Information Network Embedding With Adversarial Disentangler.
IEEE Trans. Knowl. Data Eng.
Ruijia Wang, Chuan Shi, Tianyu Zhao, Xiao Wang, Yanfang Ye
2023 J jnl
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network.
CoRR
Nian Liu, Xiao Wang, Hui Han, Chuan Shi
2023 J jnl
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network.
IEEE Trans. Knowl. Data Eng.
Nian Liu, Xiao Wang, Hui Han, Chuan Shi
2023 J jnl
Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion.
Briefings Bioinform.
Weizhong Zhao, Xueling Yuan, Xianjun Shen, Xingpeng Jiang, Chuan Shi, Tingting He, Xiaohua Hu
2023 A* conf
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization.
NeurIPS
Ruijia Wang, YiWu Sun, Yujie Luo, Shaochuan Li, Cheng Yang, Xingyi Cheng, Hui Li, Chuan Shi, Le Song
2023 A conf
Knowledge-Adaptive Contrastive Learning for Recommendation.
WSDM
Hao Wang, Yao Xu, Cheng Yang, Chuan Shi, Xin Li, Ning Guo, Zhiyuan Liu
2023 A* conf
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization.
NeurIPS
Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi
2023 J jnl
Learning discrete adaptive receptive fields for graph convolutional networks.
Sci. China Inf. Sci.
Xiaojun Ma, Ziyao Li, Guojie Song, Chuan Shi
2023 A conf
Learning to Distill Graph Neural Networks.
WSDM
Cheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin
2023 A* conf
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning.
AAAI
Xumeng Gong, Cheng Yang, Chuan Shi
2023 — conf
Memory-Enhanced Period-Aware Graph Neural Network for General POI Recommendation.
DASFAA (2)
Tianchi Yang, Haihan Gao, Cheng Yang, Chuan Shi, Qianlong Xie, Xingxing Wang, Dong Wang
2023 A* conf
Minimum Topology Attacks for Graph Neural Networks.
WWW
Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du
2023 A conf
Node-dependent Semantic Search over Heterogeneous Graph Neural Networks.
CIKM
Zhenyi Wang, Huan Zhao, Fengqi Liang, Chuan Shi
2023 A* conf
Provable Training for Graph Contrastive Learning.
NeurIPS
Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi
2023 J jnl
Provable Training for Graph Contrastive Learning.
CoRR
Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi
2023 A conf
Retrieving GNN Architecture for Collaborative Filtering.
CIKM
Fengqi Liang, Huan Zhao, Zhenyi Wang, Wei Fang, Chuan Shi
2023 A* conf
Specformer: Spectral Graph Neural Networks Meet Transformers.
ICLR
Deyu Bo, Chuan Shi, Lele Wang, Renjie Liao
2023 J jnl
Specformer: Spectral Graph Neural Networks Meet Transformers.
CoRR
Deyu Bo, Chuan Shi, Lele Wang, Renjie Liao
2023 J jnl
THAN: Multimodal Transportation Recommendation With Heterogeneous Graph Attention Networks.
IEEE Trans. Intell. Transp. Syst.
Aikun Xu, Ping Zhong, Yilin Kang, Jiongqiang Duan, Anning Wang, Mingming Lu, Chuan Shi
2023 J jnl
Towards Adaptive Information Fusion in Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng.
Meiqi Zhu, Xiao Wang, Chuan Shi, Yibo Li, Junping Du
2023 J jnl
Towards Graph Foundation Models: A Survey and Beyond.
CoRR
Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi
2023 A* conf
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework.
SIGIR
Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
2023 J jnl
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework.
CoRR
Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
2022 — conf
A Joint Framework for Explainable Recommendation with Knowledge Reasoning and Graph Representation.
DASFAA (3)
Luhao Zhang, Ruiyu Fang, Tianchi Yang, Maodi Hu, Tao Li, Chuan Shi, Dong Wang
2022 J jnl
A Meta Path Based Method for Entity Set Expansion in Knowledge Graph.
IEEE Trans. Big Data
Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu
2022 J jnl
A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources.
AI Open
Jiawei Liu, Chuan Shi, Cheng Yang, Zhiyuan Lu, Philip S. Yu
2022 J jnl
A zero-shot learning framework via cluster-prototype matching.
Pattern Recognit.
Jing Zhang, Qingyong Li, Yangli-ao Geng, Wen Wang, Wenju Sun, Chuan Shi, Zhengming Ding
2022 J jnl
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022.
CoRR
Qian Zhao, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi
2022 — conf
An Effective Sentiment Analysis Model for Tobacco Consumption.
ICCPR
Yanru Hao, Tianchi Yang, Chuan Shi, Rui Wang, Ding Xiao
2022 A* conf
Co-clustering Interactions via Attentive Hypergraph Neural Network.
SIGIR
Tianchi Yang, Cheng Yang, Luhao Zhang, Chuan Shi, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang
2022 A* conf
Compact Graph Structure Learning via Mutual Information Compression.
WWW
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
2022 J jnl
Compact Graph Structure Learning via Mutual Information Compression.
CoRR
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
2022 A* conf
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift.
WWW
Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
2022 J jnl
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift.
CoRR
Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
2022 A* conf
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks.
IJCAI
Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
2022 J jnl
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks.
CoRR
Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
2022 J jnl
Debiased Graph Neural Networks with Agnostic Label Selection Bias.
CoRR
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
2022 A* conf
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure.
NeurIPS
Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
2022 J jnl
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure.
CoRR
Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
2022 J jnl
Directed Acyclic Graph Structure Learning from Dynamic Graphs.
CoRR
Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi
2022 J jnl
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity.
IEEE Trans. Knowl. Data Eng.
Xiao Wang, Yuanfu Lu, Chuan Shi, Ruijia Wang, Peng Cui, Shuai Mou
2022 J jnl
Embedding Heterogeneous Information Network in Hyperbolic Spaces.
ACM Trans. Knowl. Discov. Data
Yiding Zhang, Xiao Wang, Nian Liu, Chuan Shi
2022 A conf
Few-shot Link Prediction in Dynamic Networks.
WSDM
Cheng Yang, Chunchen Wang, Yuanfu Lu, Xumeng Gong, Chuan Shi, Wei Wang, Xu Zhang
2022 — conf
Gated Hypergraph Neural Network for Scene-Aware Recommendation.
DASFAA (2)
Tianchi Yang, Luhao Zhang, Chuan Shi, Cheng Yang, Siyong Xu, Ruiyu Fang, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang
2022 A* conf
Geometric Disentangled Collaborative Filtering.
SIGIR
Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang
2022 J jnl
Guest Editorial: Special Issue on Social Media Computing.
IEEE Trans. Big Data
Guojie Song, Chuan Shi, Yizhou Sun, Zhiyuan Liu
2022 — book
Heterogeneous Graph Representation Learning and Applications
Chuan Shi, Xiao Wang, Philip S. Yu
2022 J jnl
Hyperbolic Graph Attention Network.
IEEE Trans. Big Data
Yiding Zhang, Xiao Wang, Chuan Shi, Xunqiang Jiang, Yanfang Ye
2022 J jnl
Hypergraph Clustering Network for Interaction Data.
IEEE Data Eng. Bull.
Tianchi Yang, Luhao Zhang, Cheng Yang, Chuan Shi, Maodi Hu, Tao Li, Dong Wang
2022 J jnl
Joint semantics and data-driven path representation for knowledge graph reasoning.
Neurocomputing
Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu
2022 J jnl
KGNN: Distributed Framework for Graph Neural Knowledge Representation.
CoRR
Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi
2022 J jnl
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning.
CoRR
Xumeng Gong, Cheng Yang, Chuan Shi
2022 A conf
OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network.
CIKM
Hui Han, Tianyu Zhao, Cheng Yang, Hongyi Zhang, Yaoqi Liu, Xiao Wang, Chuan Shi
2022 A conf
Profiling the Design Space for Graph Neural Networks based Collaborative Filtering.
WSDM
Zhenyi Wang, Huan Zhao, Chuan Shi
2022 A* conf
Prohibited Item Detection via Risk Graph Structure Learning.
WWW
Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi, Jianan Zhao, Junping Du
2022 J jnl
RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding.
IEEE Trans. Knowl. Data Eng.
Chuan Shi, Yuanfu Lu, Linmei Hu, Zhiyuan Liu, Huadong Ma
2022 A* conf
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations.
AAAI
Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou
2022 A* conf
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum.
NeurIPS
Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
2022 J jnl
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum.
CoRR
Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
2022 A* conf
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks.
AAAI
Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou
2022 A* conf
Self-supervised Graph Neural Networks for Multi-behavior Recommendation.
IJCAI
Shuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao
2022 A* conf
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network.
SIGIR
Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
2022 J jnl
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network.
CoRR
Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
2022 A* conf
Uncovering the Structural Fairness in Graph Contrastive Learning.
NeurIPS
Ruijia Wang, Xiao Wang, Chuan Shi, Le Song
2022 J jnl
Uncovering the Structural Fairness in Graph Contrastive Learning.
CoRR
Ruijia Wang, Xiao Wang, Chuan Shi, Le Song
2022 J jnl
xTrimoABFold: De novo Antibody Structure Prediction without MSA.
CoRR
Yining Wang, Xumeng Gong, Shaochuan Li, Bing Yang, YiWu Sun, Chuan Shi, Yangang Wang, Cheng Yang, Hui Li, Le Song
2021 J jnl
Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling.
ACM Trans. Knowl. Discov. Data
Yugang Ji, Mingyang Yin, Hongxia Yang, Jingren Zhou, Vincent W. Zheng, Chuan Shi, Yuan Fang
2021 A* conf
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration.
NeurIPS
Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang
2021 J jnl
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration.
CoRR
Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang
2021 A* conf
Beyond Low-frequency Information in Graph Convolutional Networks.
AAAI
Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen
2021 J jnl
Beyond Low-frequency Information in Graph Convolutional Networks.
CoRR
Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen
2021 — conf
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge.
ACL/IJCNLP (1)
Linmei Hu, Tianchi Yang, Luhao Zhang, Wanjun Zhong, Duyu Tang, Chuan Shi, Nan Duan, Ming Zhou
2021 A conf
Contrastive Pre-Training of GNNs on Heterogeneous Graphs.
CIKM
Xunqiang Jiang, Yuanfu Lu, Yuan Fang, Chuan Shi
2021 A* conf
CuCo: Graph Representation with Curriculum Contrastive Learning.
IJCAI
Guanyi Chu, Xiao Wang, Chuan Shi, Xunqiang Jiang
2021 J jnl
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng.
Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
2021 — conf
Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes Process.
ECML/PKDD (1)
Yugang Ji, Tianrui Jia, Yuan Fang, Chuan Shi
2021 J jnl
Entity set expansion in knowledge graph: a heterogeneous information network perspective.
Frontiers Comput. Sci.
Chuan Shi, Jiayu Ding, Xiaohuan Cao, Linmei Hu, Bin Wu, Xiaoli Li
2021 A* conf
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework.
WWW
Cheng Yang, Jiawei Liu, Chuan Shi
2021 J jnl
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework.
CoRR
Cheng Yang, Jiawei Liu, Chuan Shi
2021 J jnl
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs.
CoRR
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
2021 A* conf
Graph Representation Learning: Foundations, Methods, Applications and Systems.
KDD
Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu
2021 A* conf
Graph Structure Estimation Neural Networks.
WWW
Ruijia Wang, Shuai Mou, Xiao Wang, Wanpeng Xiao, Qi Ju, Chuan Shi, Xing Xie
2021 A* conf
GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks.
AAAI
Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang
2021 J jnl
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification.
ACM Trans. Inf. Syst.
Tianchi Yang, Linmei Hu, Chuan Shi, Houye Ji, Xiaoli Li, Liqiang Nie
2021 A* conf
Heterogeneous Graph Neural Network with Distance Encoding.
ICDM
Houye Ji, Cheng Yang, Chuan Shi, Pan Li
2021 A* conf
Heterogeneous Graph Structure Learning for Graph Neural Networks.
AAAI
Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye
2021 A* conf
Interpreting and Unifying Graph Neural Networks with An Optimization Framework.
WWW
Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui
2021 J jnl
Interpreting and Unifying Graph Neural Networks with An Optimization Framework.
CoRR
Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui
2021 A* conf
Large-scale Comb-K Recommendation.
WWW
Houye Ji, Junxiong Zhu, Chuan Shi, Xiao Wang, Bai Wang, Chaoyu Zhang, Zixuan Zhu, Feng Zhang, Yanghua Li
2021 A* conf
Learning to Pre-train Graph Neural Networks.
AAAI
Yuanfu Lu, Xunqiang Jiang, Yuan Fang, Chuan Shi
2021 A* conf
Lorentzian Graph Convolutional Networks.
WWW
Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song
2021 J jnl
Lorentzian Graph Convolutional Networks.
CoRR
Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song
2021 — book
Network Embedding: Theories, Methods, and Applications
Network Embedding
Cheng Yang, Zhiyuan Liu, Cunchao Tu, Chuan Shi, Maosong Sun
2021 A conf
Neural Information Diffusion Prediction with Topic-Aware Attention Network.
CIKM
Hao Wang, Cheng Yang, Chuan Shi
2021 A* conf
Package Recommendation with Intra- and Inter-Package Attention Networks.
SIGIR
Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin
2021 A* conf
Pre-training on Large-Scale Heterogeneous Graph.
KDD
Xunqiang Jiang, Tianrui Jia, Yuan Fang, Chuan Shi, Zhe Lin, Hui Wang
2021 A conf
Prohibited Item Detection on Heterogeneous Risk Graphs.
CIKM
Yugang Ji, Chuan Shi, Xiao Wang
2021 A* conf
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning.
KDD
Xiao Wang, Nian Liu, Hui Han, Chuan Shi
2021 J jnl
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning.
CoRR
Xiao Wang, Nian Liu, Hui Han, Chuan Shi
2021 — conf
Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation.
ECML/PKDD (2)
Yuanxin Zhuang, Chuan Shi, Cheng Yang, Fuzhen Zhuang, Yangqiu Song
2021 — conf
Sequence Attention for Multivariate Time Series Forecasting.
DSC
Wenrui Wu, Tao Tao, Jing Shang, Ding Xiao, Chuan Shi, Yong Jiang
2021 A conf
Sequence-aware Heterogeneous Graph Neural Collaborative Filtering.
SDM
Chen Li, Linmei Hu, Chuan Shi, Guojie Song, Yuanfu Lu
2021 A* conf
Structure-Aware Parameter-Free Group Query via Heterogeneous Information Network Transformer.
ICDE
Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Wang-Chien Lee, Chuan Shi, Philip S. Yu, Ming-Syan Chen
2021 J jnl
Text-Graph Enhanced Knowledge Graph Representation Learning.
Frontiers Artif. Intell.
Linmei Hu, Mengmei Zhang, Shaohua Li, Jinghan Shi, Chuan Shi, Cheng Yang, Zhiyuan Liu
2021 A* conf
The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021).
KDD
Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang
2021 A conf
Topic-aware Heterogeneous Graph Neural Network for Link Prediction.
CIKM
Siyong Xu, Cheng Yang, Chuan Shi, Yuan Fang, Yuxin Guo, Tianchi Yang, Luhao Zhang, Maodi Hu
2021 — conf
Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction.
PAKDD (3)
Tianchi Yang, Linmei Hu, Luhao Zhang, Chuan Shi, Cheng Yang, Nan Duan, Ming Zhou
2021 A* conf
Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce.
AAAI
Houye Ji, Junxiong Zhu, Xiao Wang, Chuan Shi, Bai Wang, Xiaoye Tan, Yanghua Li, Shaojian He
2020 J jnl
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources.
CoRR
Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
2020 A* conf
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks.
KDD
Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei
2020 J jnl
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks.
CoRR
Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei
2020 A* conf
Adversarial Label-Flipping Attack and Defense for Graph Neural Networks.
ICDM
Mengmei Zhang, Linmei Hu, Chuan Shi, Xiao Wang
2020 — conf
Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub.
ICKG
Yiming Zhang, Yujie Fan, Shifu Hou, Yanfang Ye, Xusheng Xiao, Pan Li, Chuan Shi, Liang Zhao, Shouhuai Xu
2020 A* conf
Decorrelated Clustering with Data Selection Bias.
IJCAI
Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
2020 J jnl
Decorrelated Clustering with Data Selection Bias.
CoRR
Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
2020 A conf
EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning.
CIKM
Zhiqiang Zhang, Jun Zhou, Chuan Shi
2020 J jnl
Embedding geographic information for anomalous trajectory detection.
World Wide Web
Ding Xiao, Li Song, Ruijia Wang, Xiaotian Han, Yanan Cai, Chuan Shi
2020 C conf
Encrypted Traffic Classification Using Graph Convolutional Networks.
ADMA
Shuang Mo, Yifei Wang, Ding Xiao, Wenrui Wu, Shaohua Fan, Chuan Shi
2020 A* conf
FlowScope: Spotting Money Laundering Based on Graphs.
AAAI
Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng
2020 A* conf
GraLSP: Graph Neural Networks with Local Structural Patterns.
AAAI
Yilun Jin, Guojie Song, Chuan Shi
2020 A* conf
Graph Neural News Recommendation with Unsupervised Preference Disentanglement.
ACL
Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou
2020 J jnl
Graph neural entity disambiguation.
Knowl. Based Syst.
Linmei Hu, Jiayu Ding, Chuan Shi, Chao Shao, Shaohua Li
2020 J jnl
Graph neural news recommendation with long-term and short-term interest modeling.
Inf. Process. Manag.
Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao
2020 J jnl
Heterogeneous Graph Neural Network for Recommendation.
CoRR
Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou
2020 J jnl
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference.
CoRR
Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu
2020 A* conf
Learning Node Representations from Noisy Graph Structures.
ICDM
Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi
2020 J jnl
Learning Node Representations from Noisy Graph Structures.
CoRR
Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi
2020 A* conf
Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation.
KDD
Yuanfu Lu, Yuan Fang, Chuan Shi
2020 A* conf
Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market.
ICDM
Yujie Fan, Yanfang Ye, Qian Peng, Jianfei Zhang, Yiming Zhang, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, Liang Zhao
2020 A conf
More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning.
CIKM
Jing Zhang, Yangli-ao Geng, Qingyong Li, Chuan Shi
2020 A* conf
Multi-Component Graph Convolutional Collaborative Filtering.
AAAI
Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li
2020 A conf
Multiplex Memory Network for Collaborative Filtering.
SDM
Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi
2020 A* conf
Network Schema Preserving Heterogeneous Information Network Embedding.
IJCAI
Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye
2020 A* conf
One2Multi Graph Autoencoder for Multi-view Graph Clustering.
WWW
Shaohua Fan, Xiao Wang, Chuan Shi, Emiao Lu, Ken Lin, Bai Wang
2020 C conf
STCNet: Spatial-Temporal Convolution Network for Traffic Speed Prediction.
ADMA
Mingjun Ma, Bo Peng, Ding Xiao, Yugang Ji, Chuan Shi
2020 J jnl
Semi-supervised Co-Clustering on Attributed Heterogeneous Information Networks.
Inf. Process. Manag.
Yugang Ji, Chuan Shi, Yuan Fang, Xiangnan Kong, Mingyang Yin
2020 — conf
Social Influence Attentive Neural Network for Friend-Enhanced Recommendation.
ECML/PKDD (4)
Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin
2020 A* conf
Structural Deep Clustering Network.
WWW
Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui
2020 J jnl
Structural Deep Clustering Network.
CoRR
Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui
2020 — conf
Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation.
ECML/PKDD (3)
Yugang Ji, Mingyang Yin, Yuan Fang, Hongxia Yang, Xiangwei Wang, Tianrui Jia, Chuan Shi
2019 A* conf
Adversarial Learning on Heterogeneous Information Networks.
KDD
Binbin Hu, Yuan Fang, Chuan Shi
2019 A conf
Author Set Identification via Quasi-Clique Discovery.
CIKM
Yuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye
2019 A* conf
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism.
AAAI
Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi
2019 — conf
Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks.
APWeb/WAIM (1)
Jianan Zhao, Ding Xiao, Linmei Hu, Chuan Shi
2019 J jnl
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks.
CoRR
Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
2019 J jnl
GraLSP: Graph Neural Networks with Local Structural Patterns.
CoRR
Yilun Jin, Guojie Song, Chuan Shi
2019 J jnl
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling.
CoRR
Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao
2019 A conf
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications.
CIKM
Chuan Shi, Yanfang Ye, Jiawei Zhang
2019 A* conf
Heterogeneous Graph Attention Network.
WWW
Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu
2019 J jnl
Heterogeneous Graph Attention Network.
CoRR
Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye
2019 — conf
Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification.
EMNLP/IJCNLP (1)
Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li
2019 J jnl
Heterogeneous Information Network Embedding for Recommendation.
IEEE Trans. Knowl. Data Eng.
Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu
2019 J jnl
Hyperbolic Graph Attention Network.
CoRR
Yiding Zhang, Xiao Wang, Xunqiang Jiang, Chuan Shi, Yanfang Ye
2019 A* conf
Hyperbolic Heterogeneous Information Network Embedding.
AAAI
Xiao Wang, Yiding Zhang, Chuan Shi
2019 — conf
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding.
EMNLP/IJCNLP (1)
Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang
2019 — conf
Incorporating Instance Correlations in Distantly Supervised Relation Extraction.
JIST
Luhao Zhang, Linmei Hu, Chuan Shi
2019 — conf
Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias.
PAKDD (1)
Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S. Yu
2019 A conf
Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework.
CIKM
Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Chuan Shi
2019 — conf
Meta-Path based Text Feature Enrichment Using Knowledge Graph.
DSC
Jiayu Ding, Xiaohuan Cao, Linmei Hu, Chuan Shi
2019 A* conf
Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation.
KDD
Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li
2019 J jnl
Multi-Component Graph Convolutional Collaborative Filtering.
CoRR
Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li
2019 — conf
NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation.
PAKDD (3)
Dedong Li, Aimin Zhou, Chuan Shi
2019 J jnl
On Balancing Neighborhood and Global Replacement Strategies in MOEA/D.
IEEE Access
Xiaoji Chen, Chuan Shi, Aimin Zhou, Bin Wu, Pengcheng Sheng
2019 A conf
Recent Developments of Deep Heterogeneous Information Network Analysis.
CIKM
Chuan Shi, Philip S. Yu
2019 A* conf
Relation Structure-Aware Heterogeneous Information Network Embedding.
AAAI
Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu
2019 J jnl
Relation Structure-Aware Heterogeneous Information Network Embedding.
CoRR
Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu
2019 J jnl
SemRec: a personalized semantic recommendation method based on weighted heterogeneous information networks.
World Wide Web
Chuan Shi, Zhiqiang Zhang, Yugang Ji, Weipeng Wang, Philip S. Yu, Zhiping Shi
2019 C conf
Spatial-Temporal Recurrent Neural Network for Anomalous Trajectories Detection.
ADMA
Yunyao Cheng, Bin Wu, Li Song, Chuan Shi
2019 A conf
Temporal Network Embedding with Micro- and Macro-dynamics.
CIKM
Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye
2019 J jnl
Temporal Network Embedding with Micro- and Macro-dynamics.
CoRR
Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye
2019 A* conf
Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network.
WWW
Yiming Zhang, Yujie Fan, Wei Song, Shifu Hou, Yanfang Ye, Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong
2019 A* conf
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow.
IJCAI
Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu
2018 — conf
A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph.
PAKDD (2)
Xiaohuan Cao, Chuan Shi, Yuyan Zheng, Jiayu Ding, Xiaoli Li, Bin Wu
2018 — conf
A Hybrid Replacement Strategy for MOEA/D.
BIC-TA (1)
Xiaoji Chen, Chuan Shi, Aimin Zhou, Siyong Xu, Bin Wu
2018 — conf
ANE: Network Embedding via Adversarial Autoencoders.
BigComp
Yang Xiao, Ding Xiao, Binbin Hu, Chuan Shi
2018 A conf
Abnormal Event Detection via Heterogeneous Information Network Embedding.
CIKM
Shaohua Fan, Chuan Shi, Xiao Wang
2018 C conf
Abstractive Document Summarization via Bidirectional Decoder.
ADMA
Xin Wan, Chen Li, Ruijia Wang, Ding Xiao, Chuan Shi
2018 C conf
Anomalous Trajectory Detection Using Recurrent Neural Network.
ADMA
Li Song, Ruijia Wang, Ding Xiao, Xiaotian Han, Yanan Cai, Chuan Shi
2018 A* conf
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks.
IJCAI
Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song
2018 — conf
Attention Based Meta Path Fusion for Heterogeneous Information Network Embedding.
PRICAI (1)
Houye Ji, Chuan Shi, Bai Wang
2018 J jnl
Coupled matrix factorization and topic modeling for aspect mining.
Inf. Process. Manag.
Ding Xiao, Yugang Ji, Yitong Li, Fuzhen Zhuang, Chuan Shi
2018 A* conf
Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model.
KDD
Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu
2018 A conf
Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network.
CIKM
Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang
2018 J jnl
MFPR: A Personalized Ranking Recommendation with Multiple Feedback.
ACM Trans. Soc. Comput.
Chuan Shi, Jian Liu, Yiding Zhang, Binbin Hu, Shenghua Liu, Philip S. Yu
2018 — conf
Matrix Factorization Meets Social Network Embedding for Rating Prediction.
APWeb/WAIM (1)
Menghao Zhang, Binbin Hu, Chuan Shi, Bin Wu, Bai Wang
2018 A* conf
NeuCast: Seasonal Neural Forecast of Power Grid Time Series.
IJCAI
Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng
2018 — conf
Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data.
APWeb/WAIM (1)
Xiaotian Han, Chuan Shi, Lei Zheng, Philip S. Yu, Jianxin Li, Yuanfu Lu
2018 J jnl
Transfer collaborative filtering from multiple sources via consensus regularization.
Neural Networks
Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, Chuan Shi, Qing He
2017 J jnl
A Survey of Heterogeneous Information Network Analysis.
IEEE Trans. Knowl. Data Eng.
Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2017 B conf
A decomposition based multiobjective evolutionary algorithm with semi-supervised classification.
CEC
Xiaoji Chen, Chuan Shi, Aimin Zhou, Bin Wu, Zixing Cai
2017 — conf
DSBPR: Dual Similarity Bayesian Personalized Ranking.
PAKDD (1)
Longfei Shi, Bin Wu, Jing Zheng, Chuan Shi, Mengxin Li
2017 — conf
Entity Set Expansion with Meta Path in Knowledge Graph.
PAKDD (1)
Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu
2017 — book
Heterogeneous Information Network Analysis and Applications
Chuan Shi, Philip S. Yu
2017 J jnl
Heterogeneous Information Network Embedding for Recommendation.
CoRR
Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu
2017 A conf
Local Ensemble across Multiple Sources for Collaborative Filtering.
CIKM
Jing Zheng, Fuzhen Zhuang, Chuan Shi
2017 — conf
Local Low-Rank Matrix Approximation with Preference Selection of Anchor Points.
WWW (Companion Volume)
Menghao Zhang, Binbin Hu, Chuan Shi, Bai Wang
2017 J jnl
Meta-path-based link prediction in schema-rich heterogeneous information network.
Int. J. Data Sci. Anal.
Xiaohuan Cao, Yuyan Zheng, Chuan Shi, Jingzhi Li, Bin Wu
2017 — conf
Personalized Ranking Recommendation via Integrating Multiple Feedbacks.
PAKDD (2)
Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu
2017 C conf
Playlist Recommendation Based on Reinforcement Learning.
ICIS
Binbin Hu, Chuan Shi, Jian Liu
2017 J jnl
Recommendation in heterogeneous information network via dual similarity regularization.
Int. J. Data Sci. Anal.
Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu
2017 J jnl
Representation learning via Dual-Autoencoder for recommendation.
Neural Networks
Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He
2017 — conf
Visual analysis of large heterogeneous network through interactive centrality based sampling.
ICNSC
Haibo Chen, Jianfei Zhao, Xiaoji Chen, Ding Xiao, Chuan Shi
2016 — conf
Aspect Mining with Rating Bias.
ECML/PKDD (2)
Yitong Li, Chuan Shi, Huidong Zhao, Fuzhen Zhuang, Bin Wu
2016 J jnl
Constrained-meta-path-based ranking in heterogeneous information network.
Knowl. Inf. Syst.
Chuan Shi, Yitong Li, Philip S. Yu, Bin Wu
2016 — conf
Dual Similarity Regularization for Recommendation.
PAKDD (2)
Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu
2016 J jnl
Expenditure Aware Rating Prediction for Recommendation.
CoRR
Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu
2016 — conf
Expenditure aware rating prediction for recommendation.
IEEE BigData
Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu, Naiwang Guo
2016 — conf
High-Dimensional Data Visualization Based on User Knowledge.
DMBD
Qiaolian Liu, Jianfei Zhao, Naiwang Guo, Ding Xiao, Chuan Shi
2016 J jnl
Integrating heterogeneous information via flexible regularization framework for recommendation.
Knowl. Inf. Syst.
Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu
2016 — conf
Link Prediction in Schema-Rich Heterogeneous Information Network.
PAKDD (1)
Xiaohuan Cao, Yuyan Zheng, Chuan Shi, Jingzhi Li, Bin Wu
2016 A conf
RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network.
RecSys
Jiawei Hu, Zhiqiang Zhang, Jian Liu, Chuan Shi, Philip S. Yu, Bai Wang
2015 J jnl
A Survey of Heterogeneous Information Network Analysis.
CoRR
Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2015 — conf
Dynamic Community Detection Algorithm Based on Incremental Identification.
ICDM Workshops
Xiaoming Li, Bin Wu, Qian Guo, Xuelin Zeng, Chuan Shi
2015 J jnl
Integrating Heterogeneous Information via Flexible Regularization Framework for Recommendation.
CoRR
Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu
2015 A conf
Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks.
CIKM
Chuan Shi, Zhiqiang Zhang, Ping Luo, Philip S. Yu, Yading Yue, Bin Wu
2014 — conf
A Fast Distributed Stochastic Gradient Descent Algorithm for Matrix Factorization.
BigMine
Fanglin Li, Bin Wu, Liutong Xu, Chuan Shi, Jing Shi
2014 — conf
A Novel Index Structure for Multi-key Search.
WAIM
Dongyu Wei, Xin Pan, Chuan Shi, Yueguo Chen
2014 — conf
A Retweet Number Prediction Model Based on Followers' Retweet Intention and Influence.
ICDM Workshops
Huidong Zhao, Gang Liu, Chuan Shi, Bin Wu
2014 — conf
A Two-Phase Model for Retweet Number Prediction.
WAIM
Gang Liu, Chuan Shi, Qing Chen, Bin Wu, Jiayin Qi
2014 J jnl
Comparison and Selection of objective Functions in multiobjective Community Detection.
Comput. Intell.
Chuan Shi, Philip S. Yu, Zhenyu Yan, Yue Huang, Bai Wang
2014 — conf
HRank: A Path Based Ranking Method in Heterogeneous Information Network.
WAIM
Yitong Li, Chuan Shi, Philip S. Yu, Qing Chen
2014 J jnl
HRank: A Path based Ranking Framework in Heterogeneous Information Network.
CoRR
Yitong Li, Chuan Shi, Philip S. Yu, Qing Chen
2014 J jnl
HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng.
Chuan Shi, Xiangnan Kong, Yue Huang, Philip S. Yu, Bin Wu
2014 B conf
Location inference using microblog text and friendships.
ASONAM
Chuanyang Li, Xiuqin Lin, Bin Wu, Chuan Shi
2014 J jnl
Multi-Label Classification Based on Multi-Objective Optimization.
ACM Trans. Intell. Syst. Technol.
Chuan Shi, Xiangnan Kong, Di Fu, Philip S. Yu, Bin Wu
2014 A conf
Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection.
CIKM
Chuan Shi, Ran Wang, Yitong Li, Philip S. Yu, Bin Wu
2014 C conf
Relevance Measure in Large-Scale Heterogeneous Networks.
APWeb
Xiaofeng Meng, Chuan Shi, Yitong Li, Lei Zhang, Bin Wu
2014 — conf
Sentiment analysis based on transfer learning for Chinese ancient literature.
BESC
Huidong Zhao, Bin Wu, Haoyu Wang, Chuan Shi
2013 J jnl
A link clustering based overlapping community detection algorithm.
Data Knowl. Eng.
Chuan Shi, Yanan Cai, Di Fu, Yuxiao Dong, Bin Wu
2013 J jnl
HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks.
CoRR
Chuan Shi, Xiangnan Kong, Yue Huang, Philip S. Yu, Bin Wu
2013 — conf
Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network.
PAKDD (1)
Ran Wang, Chuan Shi, Philip S. Yu, Bin Wu
2013 — conf
Multi-Objective Optimization for Overlapping Community Detection.
ADMA (2)
Jingfei Du, Jianyang Lai, Chuan Shi
2012 A* conf
HeteRecom: a semantic-based recommendation systemin heterogeneous networks.
KDD
Chuan Shi, Chong Zhou, Xiangnan Kong, Philip S. Yu, Gang Liu, Bai Wang
2012 A conf
Multi-Objective Multi-Label Classification.
SDM
Chuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang
2012 J jnl
Multi-objective community detection in complex networks.
Appl. Soft Comput.
Chuan Shi, Zhenyu Yan, Yanan Cai, Bin Wu
2012 B conf
Relevance search in heterogeneous networks.
EDBT
Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie, Bin Wu
2011 — conf
A Novel Genetic Algorithm for Overlapping Community Detection.
ADMA (1)
Yanan Cai, Chuan Shi, Yuxiao Dong, Qing Ke, Bin Wu
2011 J jnl
A Posteriori Approach for Community Detection.
J. Comput. Sci. Technol.
Chuan Shi, Zhenyu Yan, Xin Pan, Yanan Cai, Bin Wu
2011 B conf
An estimation of distribution algorithm based on nonparametric density estimation.
IEEE Congress on Evolutionary Computation
Luhan Zhou, Aimin Zhou, Guixu Zhang, Chuan Shi
2011 — conf
Multi-label Ensemble Learning.
ECML/PKDD (3)
Chuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang
2011 B conf
Multi-objective decisionmaking in the detection of comprehensive community structures.
IEEE Congress on Evolutionary Computation
Chuan Shi, Zhenyu Yan, Xin Pan, Yanan Cai, Bin Wu
2011 A conf
On selection of objective functions in multi-objective community detection.
CIKM
Chuan Shi, Philip S. Yu, Yanan Cai, Zhenyu Yan, Bin Wu
2010 — conf
A Comparison of Objective Functions in Network Community Detection.
ICDM Workshops
Chuan Shi, Yanan Cai, Philip S. Yu, Zhenyu Yan, Bin Wu
2010 J jnl
A Genetic Algorithm for Detecting Communities in Large-Scale Complex Networks.
Adv. Complex Syst.
Chuan Shi, Zhenyu Yan, Yi Wang, Yanan Cai, Bin Wu
2010 — conf
A Novel Algorithm for Hierarchical Community Structure Detection in Complex Networks.
ADMA (1)
Chuan Shi, Jian Zhang, Liangliang Shi, Yanan Cai, Bin Wu
2010 J jnl
A fast multi-objective evolutionary algorithm based on a tree structure.
Appl. Soft Comput.
Chuan Shi, Zhenyu Yan, Zhongzhi Shi, Lei Zhang
2010 B conf
A multi-objective approach for community detection in complex network.
IEEE Congress on Evolutionary Computation
Chuan Shi, Cha Zhong, Zhenyu Yan, Yanan Cai, Bin Wu
2010 — conf
FolkDiffusion: A Graph-Based Tag Suggestion Method for Folksonomies.
AIRS
Zhiyuan Liu, Chuan Shi, Maosong Sun
2009 — conf
A New Genetic Algorithm for Community Detection.
Complex (2)
Chuan Shi, Yi Wang, Bin Wu, Cha Zhong
2009 J jnl
A dominance tree and its application in evolutionary multi-objective optimization.
Inf. Sci.
Chuan Shi, Zhenyu Yan, Kevin Lü, Zhongzhi Shi, Bai Wang
2009 C conf
VisNetMiner: An Integration Tool for Visualization and Analysis of Networks.
ADMA
Chuan Shi, Dan Zhou, Bin Wu, Jian Liu
2007 — conf
An Efficient Fitness Assignment Based on Dominating Tree.
ICDM Workshops
Chuan Shi, Zhongzhi Shi, Bin Wu
2007 — conf
Automatic Discovery of Subgoals in Reinforcement Learning Using Unique-Dreiction Value.
IEEE ICCI
Chuan Shi, Rui Huang, Zhongzhi Shi
2006 B conf
An Improved Multiobjective Evolutionary Algorithm Based on Dominating Tree.
PRICAI
Chuan Shi, Qingyong Li, Zhiyong Zhang, Zhongzhi Shi
2006 — conf
Stock Time Series Forecasting Using Support Vector Machines Employing Analyst Recommendations.
ISNN (2)
Zhiyong Zhang, Chuan Shi, Sulan Zhang, Zhongzhi Shi