Dongxiao He

DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks AAAI 2026 Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment AAAI 2026 MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training AAAI 2026 Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning AAAI 2026 A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection IJCAI 2025 A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities IJCAI 2025 Attribute Association Driven Multi-Task Learning for Session-based Recommendation IJCAI 2025 Backdoor Attack on Propagation-based Rumor Detectors AAAI 2025 Contrastive Representation for Interactive Recommendation AAAI 2025 Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling AAAI 2025 Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection AAAI 2025 Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs IJCAI 2025 Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content AAAI 2025 Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks IJCAI 2025 Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation AAAI 2025 HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting AAAI 2025 Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily AAAI 2025 Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective IJCAI 2025 Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems IJCAI 2025 Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion AAAI 2025 A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning AAAI 2024 Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering NeurIPS 2024 FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features NeurIPS 2024 Generalized Taxonomy-Guided Graph Neural Networks IJCAI 2024 GOODAT: Towards Test-Time Graph Out-of-Distribution Detection AAAI 2024 Improving Distinguishability of Class for Graph Neural Networks AAAI 2024 Joint Domain Adaptive Graph Convolutional Network IJCAI 2024 LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily IJCAI 2024 Multi-Modal Sarcasm Detection Based on Dual Generative Processes IJCAI 2024 Unified Graph Augmentations for Generalized Contrastive Learning on Graphs NeurIPS 2024 Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning AAAI 2024 A Generalized Deep Markov Random Fields Framework for Fake News Detection IJCAI 2023 Contrastive Learning Meets Homophily: Two Birds with One Stone ICML 2023 T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation AAAI 2023 Block Modeling-Guided Graph Convolutional Neural Networks AAAI 2022 OPEN: Orthogonal Propagation with Ego-Network Modeling NeurIPS 2022 Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily AAAI 2022 RAW-GNN: RAndom Walk Aggregation based Graph Neural Network IJCAI 2022 Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing AAAI 2022 HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization NAACL 2021 Self-Guided Community Detection on Networks with Missing Edges IJCAI 2021 Universal Graph Convolutional Networks NeurIPS 2021 Adversarial Mutual Information Learning for Network Embedding IJCAI 2020 Community-Centric Graph Convolutional Network for Unsupervised Community Detection IJCAI 2020 An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph IJCAI 2019 Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks AAAI 2019 Incorporating Network Embedding into Markov Random Field for Better Community Detection AAAI 2019 Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks IJCAI 2019 Integrative Network Embedding via Deep Joint Reconstruction IJCAI 2018 Modularity Based Community Detection with Deep Learning IJCAI 2016