He, Dongxiao

54 publications

IJCAI 2025 A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection Di Jin, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li, Dongxiao He

IJCAI 2025 A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin

IJCAI 2025 Attribute Association Driven Multi-Task Learning for Session-Based Recommendation Xinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang, Jianguo Wei, Di Jin

AAAI 2025 Backdoor Attack on Propagation-Based Rumor Detectors Di Jin, Yujun Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang

AAAI 2025 Contrastive Representation for Interactive Recommendation Jingyu Li, Zhiyong Feng, Dongxiao He, Hongqi Chen, Qinghang Gao, Guoli Wu

AAAI 2025 Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang

AAAI 2025 Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin, Jianguo Wei

IJCAI 2025 Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs Dongyuan Ma, Dongxiao He, Xin Huang

AAAI 2025 Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content Sheng Wu, Dongxiao He, Xiaobao Wang, Longbiao Wang, Jianwu Dang

IJCAI 2025 Exploiting Self-Refining Normal Graph Structures for Robust Defense Against Unsupervised Adversarial Attacks Bingdao Feng, Di Jin, Xiaobao Wang, Dongxiao He, Jingyi Cao, Zhen Wang

AAAI 2025 Feature-Structure Adaptive Completion Graph Neural Network for Cold-Start Recommendation Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin

AAAI 2025 HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting Fengyu Yan, Xiaobao Wang, Dongxiao He, Longbiao Wang, Jianwu Dang, Di Jin

AAAI 2025 Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng, Weixiong Zhang

NeurIPS 2025 LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks Di Jin, Yuxiang Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang

NeurIPS 2025 One Prompt Fits All: Universal Graph Adaptation for Pretrained Models Yongqi Huang, Jitao Zhao, Dongxiao He, Xiaobao Wang, Yawen Li, Yuxiao Huang, Di Jin, Zhiyong Feng

IJCAI 2025 Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang

IJCAI 2025 Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang

NeurIPS 2025 Stealthy yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification Xiaobao Wang, Ruoxiao Sun, Yujun Zhang, Bingdao Feng, Dongxiao He, Luzhi Wang, Di Jin

AAAI 2025 Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion Ling Ding, Lei Huang, Zhizhi Yu, Di Jin, Dongxiao He

AAAI 2024 A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng

NeurIPS 2024 Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering Dongxiao He, Lianze Shan, Jitao Zhao, Hengrui Zhang, Zhen Wang, Weixiong Zhang

NeurIPS 2024 FUG: Feature-Universal Graph Contrastive Pre-Training for Graphs with Diverse Node Features Jitao Zhao, Di Jin, Meng Ge, Lianze Shan, Xin Wang, Dongxiao He, Zhiyong Feng

AAAI 2024 GOODAT: Towards Test-Time Graph Out-of-Distribution Detection Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua

IJCAI 2024 Generalized Taxonomy-Guided Graph Neural Networks Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang

AAAI 2024 Improving Distinguishability of Class for Graph Neural Networks Dongxiao He, Shuwei Liu, Meng Ge, Zhizhi Yu, Guangquan Xu, Zhiyong Feng

IJCAI 2024 Joint Domain Adaptive Graph Convolutional Network Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin

IJCAI 2024 LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily Zhizhi Yu, Bin Feng, Dongxiao He, Zizhen Wang, Yuxiao Huang, Zhiyong Feng

IJCAI 2024 Multi-Modal Sarcasm Detection Based on Dual Generative Processes Huiying Ma, Dongxiao He, Xiaobao Wang, Di Jin, Meng Ge, Longbiao Wang

NeurIPS 2024 Unified Graph Augmentations for Generalized Contrastive Learning on Graphs Jiaming Zhuo, Yintong Lu, Hui Ning, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang

AAAI 2024 Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin

IJCAI 2023 A Generalized Deep Markov Random Fields Framework for Fake News Detection Yiqi Dong, Dongxiao He, Xiaobao Wang, Yawen Li, Xiaowen Su, Di Jin

ICML 2023 Contrastive Learning Meets Homophily: Two Birds with One Stone Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang

AAAI 2023 T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu

AAAI 2022 Block Modeling-Guided Graph Convolutional Neural Networks Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng

NeurIPS 2022 OPEN: Orthogonal Propagation with Ego-Network Modeling Liang Yang, Lina Kang, Qiuliang Zhang, Mengzhe Li, Bingxin Niu, Dongxiao He, Zhen Wang, Chuan Wang, Xiaochun Cao, Yuanfang Guo

AAAI 2022 Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang

IJCAI 2022 RAW-GNN: RAndom Walk Aggregation Based Graph Neural Network Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang

AAAI 2022 Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao

IJCAI 2021 Self-Guided Community Detection on Networks with Missing Edges Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang

NeurIPS 2021 Universal Graph Convolutional Networks Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han

IJCAI 2020 Adversarial Mutual Information Learning for Network Embedding Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu

IJCAI 2020 Community-Centric Graph Convolutional Network for Unsupervised Community Detection Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang

IJCAI 2019 An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph Dongxiao He, Wenze Song, Di Jin, Zhiyong Feng, Yuxiao Huang

AAAI 2019 Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang

AAAI 2019 Incorporating Network Embedding into Markov Random Field for Better Community Detection Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty

IJCAI 2019 Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang

AAAI 2018 A Network-Specific Markov Random Field Approach to Community Detection Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang

IJCAI 2018 Integrative Network Embedding via Deep Joint Reconstruction Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang

AAAI 2018 Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang

AAAI 2017 Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang

AAAI 2016 Detect Overlapping Communities via Ranking Node Popularities Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang

IJCAI 2016 Modularity Based Community Detection with Deep Learning Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, Weixiong Zhang

AAAI 2015 A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang

AAAI 2015 Modeling with Node Degree Preservation Can Accurately Find Communities Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang