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Wenjun Wang

Tianjin University, School of Computer Science and Technology, China

16 papers at tracked venues · 9 at CORE A* · active 2024–2026

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Venues

IJCAI ×4CIKM ×2ICML ×2WWW ×2AAAI ×1ACL ×1EMNLP ×1ICCV ×1SIGKDD ×1VLDB ×1

Frequent coauthors

Nannan Wu
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Qin Tian
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Bowen Dong
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Yongqiang Liu
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Keao Xi
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Min Chen
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Shiyu Zhang
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Yumeng Wang
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Ying Sun
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Xueli Liu
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Qiyao Peng
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Zengyi Wo
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Papers

  1. Class-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation
    WWW 2026 ·
    Qin Tian
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  2. EPIR: Capturing Promoting and Inhibiting Relationships between Events
    ACL 2026 ·
    Bowen Dong
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  3. DS-MHP: Improving Chain-of-Thought through Dynamic Subgraph-Guided Multi-Hop Path
    EMNLP 2025 ·
    Yongqiang Liu
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  4. Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection
    IJCAI 2025 ·
    Nannan Wu
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  5. FedGC: Contrastive-enhanced Subgraph Federated Learning with Grouping Pseudo-Label
    CIKM 2025 ·
    Keao Xi
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  6. Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs
    AAAI 2025 ·
    Nannan Wu
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  7. GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning
    ICML 2025 ·
    Nannan Wu
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  8. Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting
    ICML 2025 ·
    Min Chen
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  9. Learning Visual Proxy for Compositional Zero-Shot Learning
    ICCV 2025 ·
    Shiyu Zhang
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  10. Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks
    IJCAI 2025 ·
    Yumeng Wang
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  11. MLDGG: Meta-Learning for Domain Generalization on Graphs
    SIGKDD 2025 ·
    Qin Tian
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  12. Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning
    IJCAI 2024 ·
    Ying Sun
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  13. Extending Graph Rules with Oracles
    VLDB 2024 ·
    Xueli Liu
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  14. Graph Collaborative Expert Finding with Contrastive Learning
    IJCAI 2024 ·
    Qiyao Peng
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  15. Graph Contrastive Learning via Interventional View Generation
    WWW 2024 ·
    Zengyi Wo
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  16. Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
    CIKM 2024 ·
    Dong Li
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