Chuxu Zhang - RankMe

179 papers A* 61A 23Journal 74Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Adaptive and Context-rich Generative Self-supervised Learning on Graphs. AAAI Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla
2026	J	`jnl`	BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs. CoRR Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2026	A*	`conf`	Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance. WWW Jiachi Zhao, Zehong Wang, Yamei Liao, Chuxu Zhang, Yanfang Ye
2026	J	`jnl`	GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health. CoRR Jiatan Huang, Zheyuan Zhang, Tianyi Ma, Mingchen Li, Yaning Zheng, Yanfang Ye, Chuxu Zhang
2026	J	`jnl`	Generalizing GNNs with Tokenized Mixture of Experts. CoRR Xiaoguang Guo, Zehong Wang, Jiazheng Li, Shawn Spitzel, Qi Yang, Kaize Ding, Jundong Li, Chuxu Zhang
2026	J	`jnl`	Graph is a Substrate Across Data Modalities. CoRR Ziming Li, Xiaoming Wu, Zehong Wang, Jiazheng Li, Yijun Tian, Jinhe Bi, Yunpu Ma, Yanfang Ye, Chuxu Zhang
2026	—	`conf`	Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use. EACL (Findings) Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye
2026	J	`jnl`	LongDA: Benchmarking LLM Agents for Long-Document Data Analysis. CoRR Yiyang Li, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye
2026	—	`conf`	MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference. EACL (Findings) Zheyuan Zhang, Lin Ge, Hongjiang Li, Weicheng Zhu, Chuxu Zhang, Yanfang Ye
2026	J	`jnl`	Molecular Representations in Implicit Functional Space via Hyper-Networks. CoRR Zehong Wang, Xiaolong Han, Qi Yang, Xiangru Tang, Fang Wu, Xiaoguang Guo, Weixiang Sun, Tianyi Ma, Pietro Lio, Le Cong, Sheng Wang, Chuxu Zhang, Yanfang Ye
2026	—	`conf`	NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering. EACL (Volume 1: Long Papers) Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye
2026	J	`jnl`	OPBench: A Graph Benchmark to Combat the Opioid Crisis. CoRR Tianyi Ma, Yiyang Li, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Chuxu Zhang, Yanfang Ye
2026	A*	`conf`	Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs. AAAI Wenrui Zhao, Yijun Tian, Zhichao Xu, Yawei Wang, Chuxu Zhang
2026	J	`jnl`	Safety in Graph Machine Learning: Threats and Safeguards. IEEE Trans. Knowl. Data Eng. Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2025	J	`jnl`	Adaptive Expansion for Hypergraph Learning. CoRR Tianyi Ma, Yiyue Qian, Shinan Zhang, Chuxu Zhang, Yanfang Ye
2025	A	`conf`	Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning. WSDM Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering. CoRR Zheyuan Zhang, Kaiwen Shi, Zhengqing Yuan, Zehong Wang, Tianyi Ma, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	AutoData: A Multi-Agent System for Open Web Data Collection. CoRR Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Xiaoye Qian, Feifan Bai, Yifan Ding, Xuwei Luo, Shinan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye
2025	A*	`conf`	Beyond Message Passing: Neural Graph Pattern Machine. ICML Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025	—	`conf`	Can LLMs Convert Graphs to Text-Attributed Graphs? NAACL (Long Papers) Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance. CoRR Jiachi Zhao, Zehong Wang, Yamei Liao, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. CoRR Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li
2025	J	`jnl`	Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. Trans. Mach. Learn. Res. Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li
2025	J	`jnl`	Graph Foundation Models: A Comprehensive Survey. CoRR Zehong Wang, Zheyuan Liu, Tianyi Ma, Jiazheng Li, Zheyuan Zhang, Xingbo Fu, Yiyang Li, Zhengqing Yuan, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025	—	`conf`	Graph Foundation Models: Challenges, Methods, and Open Questions. KDD (2) Zehong Wang, Chuxu Zhang, Jundong Li, Nitesh V. Chawla, Yanfang Ye
2025	A*	`conf`	Graph Neural Networks for Databases: A Survey. IJCAI Ziming Li, Youhuan Li, Yuyu Luo, Guoliang Li, Chuxu Zhang
2025	J	`jnl`	Graph Neural Networks for Databases: A Survey. CoRR Ziming Li, Youhuan Li, Yuyu Luo, Guoliang Li, Chuxu Zhang
2025	—	`conf`	Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. KDD (2) Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025	J	`jnl`	Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. CoRR Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhen Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025	J	`jnl`	GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks. CoRR Xingbo Fu, Zhen Lei, Zihan Chen, Binchi Zhang, Chuxu Zhang, Jundong Li
2025	A*	`conf`	Hypergraph Representation Learning with Adaptive Broadcasting and Receiving. ICDM Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Shinan Zhang, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Instance-Aware Graph Prompt Learning. Trans. Mach. Learn. Res. Jiazheng Li, Jundong Li, Chuxu Zhang
2025	J	`jnl`	Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use. CoRR Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Knowledge Distillation on Graphs: A Survey. ACM Comput. Surv. Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla
2025	—	`conf`	LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection. ACL (Findings) Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection. CoRR Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference. CoRR Zheyuan Zhang, Lin Ge, Hongjiang Li, Weicheng Zhu, Chuxu Zhang, Yanfang Ye
2025	A*	`conf`	MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models. ICML Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang
2025	J	`jnl`	MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models. CoRR Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang
2025	—	`conf`	MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation. KDD (1) Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering. CoRR Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye
2025	—	`conf`	NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning. ACL (1) Zheyuan Zhang, Yiyang Li, Nhi Ha Lan Le, Zehong Wang, Tianyi Ma, Vincent Galassi, Keerthiram Murugesan, Nuno Moniz, Werner Geyer, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Neural Graph Pattern Machine. CoRR Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025	A	`conf`	RSM: Reinforced Subgraph Matching Framework with Fine-grained Operation based Search Plan. WSDM Ziming Li, Yuequn Dou, Youhuan Li, Xinhuan Chen, Chuxu Zhang
2025	—	`conf`	RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2) Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025	—	`conf`	RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web. WWW (Companion Volume) Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025	—	`conf`	Resource-Efficient Learning for the Web. WWW (Companion Volume) Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025	J	`jnl`	Scalable Graph Generative Modeling via Substructure Sequences. CoRR Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2025	J	`jnl`	Semantic Refinement with LLMs for Graph Representations. CoRR Safal Thapaliya, Zehong Wang, Jiazheng Li, Ziming Li, Yanfang Ye, Chuxu Zhang
2025	A*	`conf`	Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees. ICML Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025	A	`conf`	Training MLPs on Graphs without Supervision. WSDM Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	Can LLMs Convert Graphs to Text-Attributed Graphs? CoRR Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	Data-efficient graph learning: Problems, progress, and prospects. AI Mag. Kaize Ding, Yixin Liu, Chuxu Zhang, Jianling Wang
2024	A*	`conf`	Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. KDD Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. CoRR Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Vincent Galassi, Jasmine White, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2024	—	`conf`	Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. WWW (Companion Volume) Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2024	A*	`conf`	From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble. ICML Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye
2024	A	`conf`	GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning. UAI Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Chuxu Zhang, Yanfang Ye
2024	A*	`conf`	GFT: Graph Foundation Model with Transferable Tree Vocabulary. NeurIPS Zehong Wang, Zheyuan Zhang, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	GFT: Graph Foundation Model with Transferable Tree Vocabulary. CoRR Zehong Wang, Zheyuan Zhang, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2024	A*	`conf`	Graph Cross Supervised Learning via Generalized Knowledge. KDD Xiangchi Yuan, Yijun Tian, Chunhui Zhang, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
2024	A	`conf`	How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering? ICWSM Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	Instance-Aware Graph Prompt Learning. CoRR Jiazheng Li, Jundong Li, Chuxu Zhang
2024	J	`jnl`	Learning Cross-Task Generalities Across Graphs via Task-trees. CoRR Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation. CoRR Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2024	A*	`conf`	Mitigating Emergent Robustness Degradation while Scaling Graph Learning. ICLR Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang
2024	J	`jnl`	NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning. CoRR Zheyuan Zhang, Yiyang Li, Nhi Ha Lan Le, Zehong Wang, Tianyi Ma, Vincent Galassi, Keerthiram Murugesan, Nuno Moniz, Werner Geyer, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2024	A*	`conf`	RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu
2024	J	`jnl`	Safety in Graph Machine Learning: Threats and Safeguards. CoRR Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2024	A*	`conf`	Subgraph Pooling: Tackling Negative Transfer on Graphs. IJCAI Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2024	—	`conf`	Symbolic Prompt Tuning Completes the App Promotion Graph. ECML/PKDD (10) Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Shang Ma, Chaoran Chen, Toby Li, Xusheng Xiao, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	Tackling Negative Transfer on Graphs. CoRR Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	Training MLPs on Graphs without Supervision. CoRR Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2024	J	`jnl`	UGMAE: A Unified Framework for Graph Masked Autoencoders. CoRR Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla
2023	A	`conf`	A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data. CIKM Qianlong Wen, Jiazheng Li, Chuxu Zhang, Yanfang Ye
2023	A*	`conf`	Boosting Graph Neural Networks via Adaptive Knowledge Distillation. AAAI Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla
2023	A*	`conf`	Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization. ICLR Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
2023	A*	`conf`	Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation. KDD Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
2023	A*	`conf`	Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator. AAAI Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang
2023	A*	`conf`	Fair Graph Representation Learning via Diverse Mixture-of-Experts. WWW Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang
2023	A*	`conf`	Graph-based Molecular Representation Learning. IJCAI Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla
2023	A*	`conf`	Heterogeneous Graph Masked Autoencoders. AAAI Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla
2023	A	`conf`	Heterogeneous Temporal Graph Neural Network Explainer. CIKM Jiazheng Li, Chunhui Zhang, Chuxu Zhang
2023	A*	`conf`	Hypergraph Contrastive Learning for Drug Trafficking Community Detection. ICDM Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye
2023	A	`conf`	Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. WSDM Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
2023	J	`jnl`	Knowledge Distillation on Graphs: A Survey. CoRR Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla
2023	A*	`conf`	Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency. ICLR Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
2023	A*	`conf`	Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. AAAI Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye
2023	J	`jnl`	Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning. Trans. Mach. Learn. Res. Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
2023	A*	`conf`	Multi-Modal Self-Supervised Learning for Recommendation. WWW Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
2023	J	`jnl`	Multi-Modal Self-Supervised Learning for Recommendation. CoRR Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
2023	A*	`conf`	Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. ICLR Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
2023	A*	`conf`	RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang
2023	A	`conf`	Self-Supervised Graph Structure Refinement for Graph Neural Networks. WSDM Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
2023	A*	`conf`	Towards Societal Impact of AI. AAAI Chuxu Zhang
2023	A*	`conf`	When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. ICML Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
2022	A	`conf`	A Biased Sampling Method for Imbalanced Personalized Ranking. CIKM Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang
2022	A	`conf`	Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs. SDM Yiming Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	Adversarial Cross-View Disentangled Graph Contrastive Learning. CoRR Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	Boosting Graph Neural Networks via Adaptive Knowledge Distillation. CoRR Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla
2022	A*	`conf`	Co-Modality Graph Contrastive Learning for Imbalanced Node Classification. NeurIPS Yiyue Qian, Chunhui Zhang, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	Contrastive Graph Few-Shot Learning. CoRR Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
2022	A*	`conf`	Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction. KDD Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning. CoRR Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	Editorial: Computational Behavioral Modeling for Big User Data. Frontiers Big Data Meng Jiang, Chuxu Zhang, Xiangliang Zhang, Neil Shah
2022	A*	`conf`	Few-Shot Learning on Graphs. IJCAI Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
2022	J	`jnl`	Few-Shot Learning on Graphs: A Survey. CoRR Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
2022	A*	`conf`	Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer. KDD Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang
2022	—	`conf`	Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. EMNLP (Findings) Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
2022	J	`jnl`	Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. CoRR Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
2022	J	`jnl`	Graph-based Molecular Representation Learning. CoRR Zhichun Guo, Bozhao Nan, Yijun Tian, Olaf Wiest, Chuxu Zhang, Nitesh V. Chawla
2022	A*	`conf`	GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media. ICDM Jiele Wu, Chunhui Zhang, Zheyuan Liu, Erchi Zhang, Steven Wilson, Chuxu Zhang
2022	J	`jnl`	Grounded Task Prioritization with Context-Aware Sequential Ranking. ACM Trans. Inf. Syst. Chuxu Zhang, Julia Kiseleva, Sujay Kumar Jauhar, Ryen W. White
2022	A	`conf`	HG-Meta: Graph Meta-learning over Heterogeneous Graphs. SDM Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang
2022	J	`jnl`	Heterogeneous Graph Masked Autoencoders. CoRR Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla
2022	A	`conf`	Heterogeneous Temporal Graph Neural Network. SDM Yujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
2022	J	`jnl`	Heterogeneous relational reasoning in knowledge graphs with reinforcement learning. Inf. Fusion Mandana Saebi, Steven Kreig, Chuxu Zhang, Meng Jiang, Tomasz Kajdanowicz, Nitesh V. Chawla
2022	A	`conf`	Interpretable Relation Learning on Heterogeneous Graphs. WSDM Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang
2022	A*	`conf`	Label-invariant Augmentation for Semi-Supervised Graph Classification. NeurIPS Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu
2022	J	`jnl`	Label-invariant Augmentation for Semi-Supervised Graph Classification. CoRR Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu
2022	J	`jnl`	Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. CoRR Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye
2022	A	`conf`	Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. CIKM Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang
2022	A	`conf`	Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning. CIKM Yiyue Qian, Yiming Zhang, Nitesh V. Chawla, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. CoRR Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs. CoRR Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
2022	A*	`conf`	Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. IJCAI Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
2022	J	`jnl`	Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. CoRR Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
2022	A*	`conf`	RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. IJCAI Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
2022	J	`jnl`	RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. CoRR Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
2022	A*	`conf`	Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning. KDD Yiyue Qian, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang
2022	A*	`conf`	Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract). IJCAI Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye
2022	A*	`conf`	SAIL: Self-Augmented Graph Contrastive Learning. AAAI Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang
2022	A*	`conf`	Self-Supervised Hypergraph Transformer for Recommender Systems. KDD Lianghao Xia, Chao Huang, Chuxu Zhang
2022	J	`jnl`	Self-Supervised Hypergraph Transformer for Recommender Systems. CoRR Lianghao Xia, Chao Huang, Chuxu Zhang
2022	A*	`conf`	Task-Adaptive Few-shot Node Classification. KDD Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
2022	J	`jnl`	Task-Adaptive Few-shot Node Classification. CoRR Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
2022	A*	`conf`	Toward Graph Minimally-Supervised Learning. KDD Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu
2021	A*	`conf`	Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection. IJCAI Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang
2021	A*	`conf`	Data Efficient Learning on Graphs. KDD Chuxu Zhang, Jundong Li, Meng Jiang
2021	A*	`conf`	Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media. NeurIPS Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang
2021	A*	`conf`	Few-Shot Graph Learning for Molecular Property Prediction. WWW Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
2021	J	`jnl`	Few-Shot Graph Learning for Molecular Property Prediction. CoRR Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
2021	J	`jnl`	Heterogeneous Temporal Graph Neural Network. CoRR Yujie Fan, Mingxuan Ju, Chuxu Zhang, Liang Zhao, Yanfang Ye
2021	J	`jnl`	Inductive Contextual Relation Learning for Personalization. ACM Trans. Inf. Syst. Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang, Dongjin Song, Haifeng Chen, Meng Jiang, Nitesh V. Chawla
2021	—	`conf`	Multi-view Self-supervised Heterogeneous Graph Embedding. ECML/PKDD (2) Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang
2021	J	`jnl`	Recipe Recommendation With Hierarchical Graph Attention Network. Frontiers Big Data Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla
2021	A	`conf`	Recipe Representation Learning with Networks. CIKM Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla
2021	A	`conf`	RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. CIKM Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye
2020	J	`jnl`	Addressing Class-Imbalance Problem in Personalized Ranking. CoRR Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, Xiao Bai, Xiangliang Zhang
2020	A*	`conf`	Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. IJCAI Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo
2020	A*	`conf`	Few-Shot Knowledge Graph Completion. AAAI Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla
2020	—	`conf`	Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases. EMNLP (Findings) Chuxu Zhang, Lu Yu, Mandana Saebi, Meng Jiang, Nitesh V. Chawla
2020	A	`conf`	GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. CIKM Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla
2020	A*	`conf`	Graph Few-Shot Learning via Knowledge Transfer. AAAI Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
2020	J	`jnl`	Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning. CoRR Mandana Saebi, Steven J. Krieg, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla
2020	A*	`conf`	Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting. WWW Xian Wu, Chao Huang, Chuxu Zhang, Nitesh V. Chawla
2020	A	`conf`	Learning from Heterogeneous Networks: Methods and Applications. WSDM Chuxu Zhang
2020	A*	`conf`	Multi-modal Network Representation Learning. KDD Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla
2020	J	`jnl`	Self-supervised Smoothing Graph Neural Networks. CoRR Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang
2019	A*	`conf`	A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. AAAI Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
2019	A	`conf`	Deep Dynamic Fusion Network for Traffic Accident Forecasting. CIKM Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo
2019	J	`jnl`	Few-Shot Knowledge Graph Completion. CoRR Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla
2019	J	`jnl`	Graph Few-shot Learning via Knowledge Transfer. CoRR Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
2019	A*	`conf`	Heterogeneous Graph Neural Network. KDD Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla
2019	A*	`conf`	MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. WWW Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin
2019	A*	`conf`	Multi-Order Attentive Ranking Model for Sequential Recommendation. AAAI Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang
2019	A*	`conf`	Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. KDD Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla
2019	A	`conf`	SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks. WSDM Chuxu Zhang, Ananthram Swami, Nitesh V. Chawla
2018	J	`jnl`	A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. CoRR Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
2018	J	`jnl`	CARL: Content-Aware Representation Learning for Heterogeneous Networks. CoRR Chuxu Zhang, Ananthram Swami, Nitesh V. Chawla
2018	A*	`conf`	Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification. WWW Chuxu Zhang, Chao Huang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
2018	A*	`conf`	Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference. IJCAI Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
2018	A*	`conf`	WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation. AAAI Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang
2017	—	`conf`	A Community-Aware Approach to Minimizing Dissemination in Graphs. APWeb/WAIM (1) Chuxu Zhang, Lu Yu, Chuang Liu, Zi-Ke Zhang, Tao Zhou
2017	A	`conf`	Collaborative User Network Embedding for Social Recommender Systems. SDM Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang
2017	—	`conf`	Identifying the Academic Rising Stars via Pairwise Citation Increment Ranking. APWeb/WAIM (1) Chuxu Zhang, Chuang Liu, Lu Yu, Zi-Ke Zhang, Tao Zhou
2017	—	`conf`	ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation. IEEE BigData Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
2016	—	`conf`	AdaWIRL: A Novel Bayesian Ranking Approach for Personal Big-Hit Paper Prediction. WAIM (2) Chuxu Zhang, Lu Yu, Jie Lu, Tao Zhou, Zi-Ke Zhang
2016	J	`jnl`	Identifying the Academic Rising Stars. CoRR Chuxu Zhang, Chuang Liu, Lu Yu, Zi-Ke Zhang, Tao Zhou