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Dongxiao He

45 papers at tracked venues · 34 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-1915-4179 ↗Homepage ↗

Venues

AAAI ×17IJCAI ×11WWW ×10NeurIPS ×6ACM MM ×1

Frequent coauthors

Di Jin
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Zhizhi Yu
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Lianze Shan
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Fengyu Yan
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Jitao Zhao
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Yongqi Huang
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Jiaming Zhuo
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Cuiying Huo
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Zirui Chen
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Yi Wang
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Pengfei Jiao
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Xinyao Wang
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Papers

  1. DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks
    AAAI 2026 ·
    Cuiying Huo
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  2. Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection
    WWW 2026 ·
    Zhizhi Yu
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  3. KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models
    WWW 2026 ·
    Zirui Chen
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  4. LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training
    WWW 2026 ·
    Lianze Shan
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  5. MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training
    AAAI 2026 ·
    Lianze Shan
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  6. Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment
    AAAI 2026 ·
    Di Jin
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  7. Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning
    AAAI 2026 ·
    Fengyu Yan
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  8. Topology-Aware Feature Sorting Enables Universal Modeling on Homophilic and Heterophilic Graphs
    WWW 2026 ·
    Yi Wang
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  9. Towards Graph Foundation Model: Node Feature Transfer Invariant Modeling on General Graphs
    WWW 2026 ·
    Jitao Zhao
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  10. Unveiling Backdoor Propagation in Graphs: Neuron-Centric Defense Mechanisms
    WWW 2026 ·
    Di Jin
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  11. A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection
    IJCAI 2025 ·
    Di Jin
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  12. A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
    IJCAI 2025 ·
    Pengfei Jiao
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  13. Attribute Association Driven Multi-Task Learning for Session-based Recommendation
    IJCAI 2025 ·
    Xinyao Wang
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  14. Backdoor Attack on Propagation-based Rumor Detectors
    AAAI 2025 ·
    Di Jin
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  15. Contrastive Representation for Interactive Recommendation
    AAAI 2025 ·
    Jingyu Li
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  16. Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
    AAAI 2025 ·
    Yongqi Huang
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  17. Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
    AAAI 2025 ·
    Zhizhi Yu
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  18. Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs
    IJCAI 2025 ·
    Dongyuan Ma
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  19. Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content
    AAAI 2025 ·
    Sheng Wu
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  20. Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks
    IJCAI 2025 ·
    Bingdao Feng
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  21. Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
    AAAI 2025 ·
    Songyuan Lei
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  22. HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting
    AAAI 2025 ·
    Fengyu Yan
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  23. Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
    AAAI 2025 ·
    Siqi Liu
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  24. LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction
    WWW 2025 ·
    Di Jin
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  25. LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks
    NeurIPS 2025 ·
    Di Jin
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  26. One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
    NeurIPS 2025 ·
    Yongqi Huang
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  27. Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective
    IJCAI 2025 ·
    Di Jin
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  28. Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems
    IJCAI 2025 ·
    Runze Li
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  29. Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
    NeurIPS 2025 ·
    Xiaobao Wang
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  30. Str-GCL: Structural Commonsense Driven Graph Contrastive Learning
    WWW 2025 · Dongxiao He
  31. Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
    AAAI 2025 ·
    Ling Ding
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  32. A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning
    AAAI 2024 · Dongxiao He
  33. Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
    NeurIPS 2024 · Dongxiao He
  34. FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
    NeurIPS 2024 ·
    Jitao Zhao
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  35. GAUSS: GrAph-customized Universal Self-Supervised Learning
    WWW 2024 ·
    Liang Yang
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  36. GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
    AAAI 2024 ·
    Luzhi Wang
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  37. Generalized Taxonomy-Guided Graph Neural Networks
    IJCAI 2024 ·
    Yu Zhou
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  38. Graph Contrastive Learning Reimagined: Exploring Universality
    WWW 2024 ·
    Jiaming Zhuo
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  39. Improving Distinguishability of Class for Graph Neural Networks
    AAAI 2024 · Dongxiao He
  40. Joint Domain Adaptive Graph Convolutional Network
    IJCAI 2024 ·
    Niya Yang
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  41. LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily
    IJCAI 2024 ·
    Zhizhi Yu
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  42. Multi-Modal Sarcasm Detection Based on Dual Generative Processes
    IJCAI 2024 ·
    Huiying Ma
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  43. TUT4CRS: Time-aware User-preference Tracking for Conversational Recommendation System
    ACM MM 2024 · Dongxiao He
  44. Unified Graph Augmentations for Generalized Contrastive Learning on Graphs
    NeurIPS 2024 ·
    Jiaming Zhuo
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  45. Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning
    AAAI 2024 ·
    Yiqi Dong
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