Dongxiao He

167 papers A* 76A 2B 6Misc 1Journal 70Unranked 12
YearRankTypeTitle / Venue / Authors
2026 A* conf
DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks.
AAAI
Cuiying Huo, Xiaotong Huang, Dongxiao He, Yixuan Du, Wenhuan Lu, Di Jin
2026 J jnl
GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks.
CoRR
Dongxiao He, Wenxuan Sun, Yongqi Huang, Jitao Zhao, Di Jin
2026 A* conf
Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection.
WWW
Zhizhi Yu, Di Jin, Dongxiao He, Wenhuan Lu, Jianguo Wei
2026 A* conf
KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models.
WWW
Zirui Chen, Xin Wang, Zhao Li, Wenbin Guo, Dongxiao He, Yanbing Li, Wushour Silamu
2026 A* conf
LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training.
WWW
Lianze Shan, Jitao Zhao, Dongxiao He, Siqi Liu, Jiaxu Cui, Weixiong Zhang
2026 J jnl
LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training.
CoRR
Lianze Shan, Jitao Zhao, Dongxiao He, Siqi Liu, Jiaxu Cui, Weixiong Zhang
2026 A* conf
MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training.
AAAI
Lianze Shan, Jitao Zhao, Dongxiao He, Yongqi Huang, Zhiyong Feng, Weixiong Zhang
2026 J jnl
MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training.
CoRR
Lianze Shan, Jitao Zhao, Dongxiao He, Yongqi Huang, Zhiyong Feng, Weixiong Zhang
2026 A* conf
Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment.
AAAI
Di Jin, Haotian Zhao, Xiaobao Wang, Fengyu Yan, Dongxiao He
2026 A* conf
Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning.
AAAI
Fengyu Yan, Di Jin, Xiaobao Wang, Qianhua Tang, Dongxiao He
2026 A* conf
Topology-Aware Feature Sorting Enables Universal Modeling on Homophilic and Heterophilic Graphs.
WWW
Yi Wang, Jitao Zhao, Dongxiao He, Jia Li, Yuxiao Huang, Zhiyong Feng
2026 A* conf
Towards Graph Foundation Model: Node Feature Transfer Invariant Modeling on General Graphs.
WWW
Jitao Zhao, Yi Wang, Yawen Li, Dongxiao He, Di Jin, Zhiyong Feng, Weixiong Zhang
2026 J jnl
Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding.
CoRR
Chundong Liang, Yongqi Huang, Dongxiao He, Peiyuan Li, Yawen Li, Di Jin, Weixiong Zhang
2026 A* conf
Unveiling Backdoor Propagation in Graphs: Neuron-Centric Defense Mechanisms.
WWW
Di Jin, Bingdao Feng, Xiaobao Wang, Yuxiang Zhang, Zechuan Zhang, Liang Yang, Dongxiao He, Zhen Wang
2026 J jnl
Unveiling Fine-Grained Deceptive Patterns in Multimodal Fake News: An Explainable Neuro-Symbolic Framework With LVLMs.
IEEE Trans. Pattern Anal. Mach. Intell.
Dongxiao He, Yiqi Dong, Xiaobao Wang, Meng Ge, Carl Yang, Di Jin, Witold Pedrycz
2025 A* conf
A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection.
IJCAI
Di Jin, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li, Dongxiao He
2025 J jnl
A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection.
CoRR
Di Jin, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li, Dongxiao He
2025 A* conf
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities.
IJCAI
Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin
2025 J jnl
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities.
CoRR
Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin
2025 A* conf
Attribute Association Driven Multi-Task Learning for Session-based Recommendation.
IJCAI
Xinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang, Jianguo Wei, Di Jin
2025 A* conf
Backdoor Attack on Propagation-based Rumor Detectors.
AAAI
Di Jin, Yujun Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang
2025 J jnl
Beyond Homophily: Neighborhood Distribution-guided Graph Convolutional Networks.
Expert Syst. Appl.
Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng
2025 A* conf
Contrastive Representation for Interactive Recommendation.
AAAI
Jingyu Li, Zhiyong Feng, Dongxiao He, Hongqi Chen, Qinghang Gao, Guoli Wu
2025 J jnl
Distill & Contrast: A New Graph Self-Supervised Method With Approximating Nature Data Relationships.
IEEE Trans. Knowl. Data Eng.
Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Cuiying Huo, Di Jin, Witold Pedrycz, Weixiong Zhang
2025 A* conf
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling.
AAAI
Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang
2025 J jnl
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling.
CoRR
Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang
2025 J jnl
Dual Enhanced Meta-Learning With Adaptive Task Scheduler for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng.
Dongxiao He, Jiaqi Cui, Xiaobao Wang, Guojie Song, Yuxiao Huang, Lingfei Wu
2025 A* conf
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection.
AAAI
Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin, Jianguo Wei
2025 A* conf
Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs.
IJCAI
Dongyuan Ma, Dongxiao He, Xin Huang
2025 J jnl
Elevating Knowledge-Enhanced Entity and Relationship Understanding for Sarcasm Detection.
IEEE Trans. Knowl. Data Eng.
Xiaobao Wang, Yujing Wang, Dongxiao He, Zhe Yu, Yawen Li, Longbiao Wang, Jianwu Dang, Di Jin
2025 A* conf
Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content.
AAAI
Sheng Wu, Dongxiao He, Xiaobao Wang, Longbiao Wang, Jianwu Dang
2025 A* conf
Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks.
IJCAI
Bingdao Feng, Di Jin, Xiaobao Wang, Dongxiao He, Jingyi Cao, Zhen Wang
2025 A* conf
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation.
AAAI
Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin
2025 J jnl
Graph contrastive learning with multiple information fusion.
Expert Syst. Appl.
Xiaobao Wang, Jun Yang, Zhiqiang Wang, Dongxiao He, Jitao Zhao, Yuxiao Huang, Di Jin
2025 A* conf
HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting.
AAAI
Fengyu Yan, Xiaobao Wang, Dongxiao He, Longbiao Wang, Jianwu Dang, Di Jin
2025 J jnl
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.
ACM Trans. Intell. Syst. Technol.
Cuiying Huo, Dongxiao He, Yawen Li, Di Jin, Jianwu Dang, Witold Pedrycz, Lingfei Wu, Weixiong Zhang
2025 A* conf
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily.
AAAI
Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng, Weixiong Zhang
2025 J jnl
KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models.
CoRR
Zirui Chen, Xin Wang, Zhao Li, Wenbin Guo, Dongxiao He
2025 A* conf
LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction.
WWW
Di Jin, Cuiying Huo, Jiayi Shi, Dongxiao He, Jianguo Wei, Philip S. Yu
2025 J jnl
One Prompt Fits All: Universal Graph Adaptation for Pretrained Models.
CoRR
Yongqi Huang, Jitao Zhao, Dongxiao He, Xiaobao Wang, Yawen Li, Yuxiao Huang, Di Jin, Zhiyong Feng
2025 A* conf
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective.
IJCAI
Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang
2025 J jnl
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective.
CoRR
Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang
2025 A* conf
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems.
IJCAI
Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang
2025 J jnl
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems.
CoRR
Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang
2025 J jnl
Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification.
CoRR
Xiaobao Wang, Ruoxiao Sun, Yujun Zhang, Bingdao Feng, Dongxiao He, Luzhi Wang, Di Jin
2025 A* conf
Str-GCL: Structural Commonsense Driven Graph Contrastive Learning.
WWW
Dongxiao He, Yongqi Huang, Jitao Zhao, Xiaobao Wang, Zhen Wang
2025 J jnl
Str-GCL: Structural Commonsense Driven Graph Contrastive Learning.
CoRR
Dongxiao He, Yongqi Huang, Jitao Zhao, Xiaobao Wang, Zhen Wang
2025 A* conf
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion.
AAAI
Ling Ding, Lei Huang, Zhizhi Yu, Di Jin, Dongxiao He
2024 A* conf
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning.
AAAI
Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng
2024 J jnl
AIMDiT: Modality Augmentation and Interaction via Multimodal Dimension Transformation for Emotion Recognition in Conversations.
CoRR
Sheng Wu, Jiaxing Liu, Longbiao Wang, Dongxiao He, Xiaobao Wang, Jianwu Dang
2024 J jnl
Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Dongxiao He, Chundong Liang, Cuiying Huo, Zhiyong Feng, Di Jin, Liang Yang, Weixiong Zhang
2024 — conf
Beyond the Known: Novel Class Discovery for Open-World Graph Learning.
DASFAA (6)
Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu
2024 J jnl
Beyond the Known: Novel Class Discovery for Open-world Graph Learning.
CoRR
Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu
2024 J jnl
Contrastive Representation for Interactive Recommendation.
CoRR
Jingyu Li, Zhiyong Feng, Dongxiao He, Hongqi Chen, Qinghang Gao, Guoli Wu
2024 J jnl
Enriching Multimodal Sentiment Analysis through Textual Emotional Descriptions of Visual-Audio Content.
CoRR
Sheng Wu, Xiaobao Wang, Longbiao Wang, Dongxiao He, Jianwu Dang
2024 A* conf
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering.
NeurIPS
Dongxiao He, Lianze Shan, Jitao Zhao, Hengrui Zhang, Zhen Wang, Weixiong Zhang
2024 A* conf
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features.
NeurIPS
Jitao Zhao, Di Jin, Meng Ge, Lianze Shan, Xin Wang, Dongxiao He, Zhiyong Feng
2024 J jnl
GA-GGD: Improving semantic discriminability in graph contrastive learning via Generative Adversarial Network.
Inf. Fusion
Jitao Zhao, Dongxiao He, Meng Ge, Yongqi Huang, Lianze Shan, Yongbin Qin, Zhiyong Feng
2024 A* conf
GAUSS: GrAph-customized Universal Self-Supervised Learning.
WWW
Liang Yang, Weixiao Hu, Jizhong Xu, Runjie Shi, Dongxiao He, Chuan Wang, Xiaochun Cao, Zhen Wang, Bingxin Niu, Yuanfang Guo
2024 A* conf
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.
AAAI
Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
2024 J jnl
GOODAT: Towards Test-time Graph Out-of-Distribution Detection.
CoRR
Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
2024 A* conf
Generalized Taxonomy-Guided Graph Neural Networks.
IJCAI
Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang
2024 A* conf
Graph Contrastive Learning Reimagined: Exploring Universality.
WWW
Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang
2024 A* conf
Improving Distinguishability of Class for Graph Neural Networks.
AAAI
Dongxiao He, Shuwei Liu, Meng Ge, Zhizhi Yu, Guangquan Xu, Zhiyong Feng
2024 A* conf
Joint Domain Adaptive Graph Convolutional Network.
IJCAI
Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin
2024 A* conf
LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily.
IJCAI
Zhizhi Yu, Bin Feng, Dongxiao He, Zizhen Wang, Yuxiao Huang, Zhiyong Feng
2024 A* conf
Multi-Modal Sarcasm Detection Based on Dual Generative Processes.
IJCAI
Huiying Ma, Dongxiao He, Xiaobao Wang, Di Jin, Meng Ge, Longbiao Wang
2024 J jnl
Reliable Data Augmented Contrastive Learning for Sequential Recommendation.
IEEE Trans. Big Data
Mankun Zhao, Aitong Sun, Jian Yu, Xuewei Li, Dongxiao He, Ruiguo Yu, Mei Yu
2024 J jnl
Spatio-temporal graph cross-correlation auto-encoding network for wind power prediction.
Int. J. Mach. Learn. Cybern.
Ruiguo Yu, Yingzhou Sun, Dongxiao He, Jie Gao, Zhiqiang Liu, Mei Yu
2024 A* conf
TUT4CRS: Time-aware User-preference Tracking for Conversational Recommendation System.
ACM Multimedia
Dongxiao He, Jinghan Zhang, Xiaobao Wang, Meng Ge, Zhiyong Feng, Longbiao Wang, Xiaoke Ma
2024 J jnl
Text-Rich Graph Neural Networks With Subjective-Objective Semantic Modeling.
IEEE Trans. Knowl. Data Eng.
Yawen Li, Zhizhi Yu, Dongxiao He
2024 J jnl
TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature.
IEEE Trans. Neural Networks Learn. Syst.
Cuiying Huo, Dongxiao He, Chundong Liang, Di Jin, Tie Qiu, Lingfei Wu
2024 A* conf
Unified Graph Augmentations for Generalized Contrastive Learning on Graphs.
NeurIPS
Jiaming Zhuo, Yintong Lu, Hui Ning, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang
2024 A* conf
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning.
AAAI
Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin
2023 A* conf
A Generalized Deep Markov Random Fields Framework for Fake News Detection.
IJCAI
Yiqi Dong, Dongxiao He, Xiaobao Wang, Yawen Li, Xiaowen Su, Di Jin
2023 J jnl
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
IEEE Trans. Knowl. Data Eng.
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang
2023 J jnl
Adversarial Representation Mechanism Learning for Network Embedding.
IEEE Trans. Knowl. Data Eng.
Dongxiao He, Tao Wang, Lu Zhai, Di Jin, Liang Yang, Yuxiao Huang, Zhiyong Feng, Philip S. Yu
2023 J jnl
Amer: A New Attribute-Missing Network Embedding Approach.
IEEE Trans. Cybern.
Di Jin, Rui Wang, Tao Wang, Dongxiao He, Weiping Ding, Yuxiao Huang, Longbiao Wang, Witold Pedrycz
2023 A* conf
Contrastive Learning Meets Homophily: Two Birds with One Stone.
ICML
Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang
2023 J jnl
Embedding text-rich graph neural networks with sequence and topical semantic structures.
Knowl. Inf. Syst.
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
2023 J jnl
GCN for HIN via Implicit Utilization of Attention and Meta-Paths.
IEEE Trans. Knowl. Data Eng.
Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han
2023 J jnl
Generative Evolutionary Anomaly Detection in Dynamic Networks.
IEEE Trans. Knowl. Data Eng.
Pengfei Jiao, Tianpeng Li, Yingjie Xie, Yinghui Wang, Wenjun Wang, Dongxiao He, Huaming Wu
2023 A* conf
Graph Neural Networks without Propagation.
WWW
Liang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo
2023 A* conf
Graph Reciprocal Neural Networks by Abstracting Node as Attribute.
ICDM
Liang Yang, Jiayi Wang, Dongxiao He, Chuan Wang, Xiaochun Cao, Bingxin Niu, Zhen Wang
2023 J jnl
HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level.
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang
2023 — conf
Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.
KSEM (4)
Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang
2023 A* conf
Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing.
ACM Multimedia
Liang Yang, Jiayi Wang, Tingting Zhang, Dongxiao He, Chuan Wang, Yuanfang Guo, Xiaochun Cao, Bingxin Niu, Zhen Wang
2023 A* conf
Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs.
ACM Multimedia
Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Yuanfang Guo, Zhen Wang, Chuan Wang, Xiaochun Cao, Liang Yang
2023 A* conf
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation.
AAAI
Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu
2022 J jnl
A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism.
IEEE Trans. Big Data
Dongxiao He, Huixin Liu, Zhiyong Feng, Xiaobao Wang, Di Jin, Wenze Song, Yuxiao Huang
2022 A* conf
Block Modeling-Guided Graph Convolutional Neural Networks.
AAAI
Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng
2022 J jnl
Community Detection in Social Networks Considering Social Behaviors.
IEEE Access
Yingkui Wang, Di Jin, Dongxiao He, Katarzyna Musial, Jianwu Dang
2022 A* conf
Difference Residual Graph Neural Networks.
ACM Multimedia
Liang Yang, Weihang Peng, Wenmiao Zhou, Bingxin Niu, Junhua Gu, Chuan Wang, Yuanfang Guo, Dongxiao He, Xiaochun Cao
2022 A* conf
Graph Neural Network for Higher-Order Dependency Networks.
WWW
Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang
2022 A* conf
Graph Neural Networks Beyond Compromise Between Attribute and Topology.
WWW
Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Dongxiao He
2022 J jnl
Identification of Communities With Multi-Semantics via Bayesian Generative Model.
IEEE Trans. Big Data
Dongxiao He, Yanli Wu, Youyou Wang, Zhizhi Yu, Zhiyong Feng, Xiaobao Wang, Yuxiao Huang
2022 A* conf
Inflation Improves Graph Neural Networks.
WWW
Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang
2022 A* conf
OPEN: Orthogonal Propagation with Ego-Network Modeling.
NeurIPS
Liang Yang, Lina Kang, Qiuliang Zhang, Mengzhe Li, Bingxin Niu, Dongxiao He, Zhen Wang, Chuan Wang, Xiaochun Cao, Yuanfang Guo
2022 A* conf
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily.
AAAI
Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang
2022 A* conf
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network.
IJCAI
Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
2022 J jnl
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network.
CoRR
Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
2022 A* conf
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing.
AAAI
Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao
2022 J jnl
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation.
CoRR
Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu
2022 J jnl
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism.
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang
2022 J jnl
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature.
CoRR
Cuiying Huo, Di Jin, Chundong Liang, Dongxiao He, Tie Qiu, Lingfei Wu
2021 J jnl
A network embedding-enhanced Bayesian model for generalized community detection in complex networks.
Inf. Sci.
Dongxiao He, Youyou Wang, Jinxin Cao, Weiping Ding, Shizhan Chen, Zhiyong Feng, Bo Wang, Yuxiao Huang
2021 A* conf
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks.
ICDM
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
2021 J jnl
Block Modeling-Guided Graph Convolutional Neural Networks.
CoRR
Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng
2021 J jnl
Event prediction based on evolutionary event ontology knowledge.
Future Gener. Comput. Syst.
Qianren Mao, Xi Li, Hao Peng, Jianxin Li, Dongxiao He, Shu Guo, Min He, Lihong Wang
2021 — conf
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization.
NAACL-HLT
Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu
2021 J jnl
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization.
CoRR
Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu
2021 J jnl
Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily.
CoRR
Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang
2021 J jnl
Robust Detection of Link Communities With Summary Description in Social Networks.
IEEE Trans. Knowl. Data Eng.
Di Jin, Xiaobao Wang, Dongxiao He, Jianwu Dang, Weixiong Zhang
2021 A* conf
Self-Guided Community Detection on Networks with Missing Edges.
IJCAI
Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang
2021 J jnl
Semi-supervised community detection on attributed networks using non-negative matrix tri-factorization with node popularity.
Frontiers Comput. Sci.
Di Jin, Jing He, Bianfang Chai, Dongxiao He
2021 A* conf
Universal Graph Convolutional Networks.
NeurIPS
Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han
2020 A* conf
Adversarial Mutual Information Learning for Network Embedding.
IJCAI
Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu
2020 A* conf
Community-Centric Graph Convolutional Network for Unsupervised Community Detection.
IJCAI
Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang
2020 J jnl
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics.
IEEE Trans. Knowl. Data Eng.
Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Françoise Fogelman-Soulié, Xin Huang
2020 J jnl
GCN for HIN via Implicit Utilization of Attention and Meta-paths.
CoRR
Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han
2020 J jnl
ModMRF: A modularity-based Markov Random Field method for community detection.
Neurocomputing
Di Jin, Binbin Zhang, Yue Song, Dongxiao He, Zhiyong Feng, Shizhan Chen, Weihao Li, Katarzyna Musial
2020 J jnl
Modeling with Node Popularities for Autonomous Overlapping Community Detection.
ACM Trans. Intell. Syst. Technol.
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan, Weixiong Zhang
2019 A* conf
A Novel Generative Topic Embedding Model by Introducing Network Communities.
WWW
Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Françoise Fogelman-Soulié, Yuxiao Huang
2019 — conf
A Simple and Effective Community Detection Method Combining Network Topology with Node Attributes.
KSEM (1)
Dongxiao He, Yue Song, Di Jin
2019 B conf
Adversarial Capsule Learning for Network Embedding.
ICTAI
Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai
2019 A* conf
An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph.
IJCAI
Dongxiao He, Wenze Song, Di Jin, Zhiyong Feng, Yuxiao Huang
2019 — conf
Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network.
ICANN (Workshop)
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan
2019 A conf
Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities.
CIKM
Xiaobao Wang, Di Jin, Mengquan Liu, Dongxiao He, Katarzyna Musial, Jianwu Dang
2019 A* conf
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks.
AAAI
Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang
2019 A* conf
Incorporating Network Embedding into Markov Random Field for Better Community Detection.
AAAI
Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty
2019 A* conf
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks.
IJCAI
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang
2018 — conf
A Network Embedding-Enhanced Approach for Generalized Community Detection.
KSEM (2)
Dongxiao He, Xue Yang, Zhiyong Feng, Shizhan Chen, Françoise Fogelman-Soulié
2018 A* conf
A Network-Specific Markov Random Field Approach to Community Detection.
AAAI
Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang
2018 A conf
A Probabilistic Model for Service Clustering - Jointly Using Service Invocation and Service Characteristics.
ICWS
Dongxiao He, Xue Yang, Zhiyong Feng, Shizhan Chen, Keman Huang, Zhenzhu Wang, Françoise Fogelman-Soulié
2018 B conf
Edge Content Enhanced Network Embedding.
ICTAI
Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, Jing Wang, Dongxiao He
2018 A* conf
Integrative Network Embedding via Deep Joint Reconstruction.
IJCAI
Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang
2018 — conf
Manifold-based incremental community detection method for online speaker identification.
ISCSLP
Hongcui Wang, Dongxiao He, Jianwu Dang, Xi Liang
2018 J jnl
Performance Analysis for the N-Continuous Precoded SM-OFDM System.
IEEE Trans. Veh. Technol.
Yue Xiao, Feng Yu, Xia Lei, Dongxiao He, Ping Yang, Wei Xiang
2018 J jnl
Performance Analysis of MMSE Pre-Coding Aided Spatial Modulation.
IEEE Access
You Li, Xia Lei, Wanbin Tang, Dongxiao He, Yue Xiao, Wei Xiang
2018 — conf
Quantifying the Emergence of New Domains: Using Cybersecurity as a Case.
KSEM (2)
Xiaoli Hu, Zhiyong Feng, Shizhan Chen, Dongxiao He, Keman Huang
2018 — conf
Robust Detection of Communities with Multi-semantics in Large Attributed Networks.
KSEM (1)
Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
2018 A* conf
Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics.
AAAI
Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang
2017 B conf
Adaptive Community Detection Incorporating Topology and Content in Social Networks.
ASONAM
Meng Qin, Di Jin, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
2017 B conf
Identification of Generalized Communities with Semantics in Networks with Content.
ICTAI
Di Jin, Xiaobao Wang, Dongxiao He, Wenhuan Lu, Françoise Fogelman-Soulié, Jianwu Dang
2017 A* conf
Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents.
AAAI
Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang
2017 J jnl
Semi-supervised community detection based on non-negative matrix factorization with node popularity.
Inf. Sci.
Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin, Carlo Vittorio Cannistraci
2017 B conf
Using Deep Learning for Community Discovery in Social Networks.
ICTAI
Di Jin, Meng Ge, Zhixuan Li, Wenhuan Lu, Dongxiao He, Françoise Fogelman-Soulié
2016 J jnl
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach.
Knowl. Based Syst.
Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys
2016 A* conf
Detect Overlapping Communities via Ranking Node Popularities.
AAAI
Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang
2016 A* conf
Modularity Based Community Detection with Deep Learning.
IJCAI
Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, Weixiong Zhang
2016 B conf
Node-Grained Incremental Community Detection for Streaming Networks.
ICTAI
Siwen Yin, Shizhan Chen, Zhiyong Feng, Keman Huang, Dongxiao He, Peng Zhao, Michael Ying Yang
2015 A* conf
A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks.
AAAI
Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang
2015 A* conf
Modeling with Node Degree Preservation Can Accurately Find Communities.
AAAI
Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang
2014 — conf
The (un)supervised detection of overlapping communities as well as hubs and outliers via (bayesian) NMF.
WWW (Companion Volume)
Xiaochun Cao, Xiao Wang, Di Jin, Yixin Cao, Dongxiao He
2013 J jnl
An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks
CoRR
Dongxiao He, Jie Liu, Bo Yang, Yuxiao Huang, Dayou Liu, Di Jin
2013 J jnl
Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks
CoRR
Di Jin, Dayou Liu, Bo Yang, Jie Liu, Dongxiao He
2013 J jnl
Discovering link communities in complex networks by exploiting link dynamics
CoRR
Dongxiao He, Dayou Liu, Weixiong Zhang, Di Jin, Bo Yang
2013 J jnl
Genetic Algorithm with Ensemble Learning for Detecting Community Structure in Complex Networks
CoRR
Dongxiao He, Zhe Wang, Bin Yang, Chunguang Zhou
2013 J jnl
Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks
CoRR
Dayou Liu, Di Jin, Carlos Baquero, Dongxiao He, Bo Yang, Qiangyuan Yu
2013 J jnl
Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks.
Int. J. Comput. Intell. Syst.
Dayou Liu, Di Jin, Carlos Baquero, Dongxiao He, Bo Yang, Qiangyuan Yu
2013 J jnl
Identification of hybrid node and link communities in complex networks.
CoRR
Dongxiao He, Weixiong Zhang
2013 J jnl
Markov random walk under constraint for discovering overlapping communities in complex networks
CoRR
Di Jin, Bo Yang, Carlos Baquero, Dayou Liu, Dongxiao He, Jie Liu
2012 J jnl
An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks.
Adv. Complex Syst.
Dongxiao He, Jie Liu, Bo Yang, Yuxiao Huang, Dayou Liu, Di Jin
2011 — conf
Ant Colony Optimization with Markov Random Walk for Community Detection in Graphs.
PAKDD (2)
Di Jin, Dayou Liu, Bo Yang, Carlos Baquero, Dongxiao He
2011 J jnl
Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks.
Adv. Complex Syst.
Di Jin, Dayou Liu, Bo Yang, Jie Liu, Dongxiao He
2011 Misc conf
Ant colony optimization for community detection in large-scale complex networks.
ICNC
Dongxiao He, Jie Liu, Dayou Liu, Di Jin, Zhengxue Jia
2010 — conf
Genetic Algorithm with Local Search for Community Mining in Complex Networks.
ICTAI (1)
Di Jin, Dongxiao He, Dayou Liu, Carlos Baquero