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Di Jin

Tianjin University, College of Intelligence and Computing, China

39 papers at tracked venues · 27 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-7445-9936 ↗Homepage ↗

Venues

AAAI ×13IJCAI ×12NeurIPS ×6WWW ×6ICML ×2

Frequent coauthors

Liang Yang
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Ling Ding
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Zhizhi Yu
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Fengyu Yan
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Jitao Zhao
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Pengfei Jiao
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Yongqi Huang
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Cuiying Huo
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Jiaming Zhuo
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Xinyao Wang
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Bingdao Feng
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Songyuan Lei
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Papers

  1. ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion
    AAAI 2026 ·
    Ling Ding
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  2. Cross-Type Semantic Alignment for Multi-Type Anomaly Detection in Heterogeneous Graphs
    WWW 2026 · Di Jin
  3. DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks
    AAAI 2026 ·
    Cuiying Huo
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  4. IVQ-GNN: Mitigating Performance Gap from Graph Connection Pattern Inconsistency via Vector Quantization
    WWW 2026 · Di Jin
  5. Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection
    WWW 2026 ·
    Zhizhi Yu
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  6. Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment
    AAAI 2026 · Di Jin
  7. Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning
    AAAI 2026 ·
    Fengyu Yan
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  8. Towards Graph Foundation Model: Node Feature Transfer Invariant Modeling on General Graphs
    WWW 2026 ·
    Jitao Zhao
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  9. Unveiling Backdoor Propagation in Graphs: Neuron-Centric Defense Mechanisms
    WWW 2026 · Di Jin
  10. A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
    NeurIPS 2025 ·
    Jiaming Zhuo
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  11. A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection
    IJCAI 2025 · Di Jin
  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
  15. Disentangled Graph Spectral Domain Adaptation
    ICML 2025 ·
    Liang Yang
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  16. Do We Really Need Message Passing in Brain Network Modeling?
    ICML 2025 ·
    Liang Yang
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  17. 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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  18. Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
    AAAI 2025 ·
    Zhizhi Yu
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  19. Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks
    IJCAI 2025 ·
    Bingdao Feng
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  20. Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
    AAAI 2025 ·
    Songyuan Lei
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  21. HGMP: Heterogeneous Graph Multi-Task Prompt Learning
    IJCAI 2025 ·
    Pengfei Jiao
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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. Heterogeneous Temporal Hypergraph Neural Network
    IJCAI 2025 ·
    Huan Liu
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  24. Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
    AAAI 2025 ·
    Siqi Liu
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  25. LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction
    WWW 2025 · Di Jin
  26. LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks
    NeurIPS 2025 · Di Jin
  27. One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
    NeurIPS 2025 ·
    Yongqi Huang
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  28. Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective
    IJCAI 2025 · Di Jin
  29. Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems
    IJCAI 2025 ·
    Runze Li
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  30. Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
    NeurIPS 2025 ·
    Xiaobao Wang
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  31. Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
    AAAI 2025 ·
    Ling Ding
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  32. Universal Graph Self-Contrastive Learning
    IJCAI 2025 ·
    Liang Yang
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  33. Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
    NeurIPS 2024 ·
    Jingbo Zhou
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  34. FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
    NeurIPS 2024 ·
    Jitao Zhao
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  35. GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
    AAAI 2024 ·
    Luzhi Wang
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  36. Generalized Taxonomy-Guided Graph Neural Networks
    IJCAI 2024 ·
    Yu Zhou
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  37. Joint Domain Adaptive Graph Convolutional Network
    IJCAI 2024 ·
    Niya Yang
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  38. Multi-Modal Sarcasm Detection Based on Dual Generative Processes
    IJCAI 2024 ·
    Huiying Ma
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  39. Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning
    AAAI 2024 ·
    Yiqi Dong
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