Xingcheng Fu

Venues

Frequent coauthors

Papers

1. Graph Diffusion Evolution Model for Multi-Conditional Molecular Generation
   WWW 2026 · Xingcheng Fu
2. Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning
   AAAI 2026 ·

   Yi Huang

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3. Mitigating Privacy Risks in Graph Condensation from a Hyperbolic Geometry Perspective
   SIGKDD 2026 ·

   Yuecen Wei

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4. Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks
   AAAI 2026 ·

   Jiayi Luo

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5. RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation
   WWW 2026 ·

   Haonan Yuan

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6. SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation
   AAAI 2026 ·

   Junhua Shi

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7. Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
   AAAI 2026 ·

   Jiayi Luo

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8. Towards Geometry-Consistent Federated Graph Learning
   WWW 2026 ·

   Yuecen Wei

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9. Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space
   AAAI 2026 · Xingcheng Fu
10. Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model
    WWW 2026 ·

    Yisen Gao

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11. An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks
    IJCAI 2025 ·

    Jinyan Wang

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12. Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
    AAAI 2025 · Xingcheng Fu
13. DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
    AAAI 2025 ·

    Haonan Yuan

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14. Discrete Curvature Graph Information Bottleneck
    AAAI 2025 · Xingcheng Fu
15. Frontiers in Graph Machine Learning for the Large Model Era
    CIKM 2025 ·

    Qingyun Sun

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16. GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
    NeurIPS 2025 ·

    Haonan Yuan

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17. Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding
    CVPR 2025 ·

    Tianyu Chen

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18. Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
    WSDM 2025 ·

    Jiawen Qin

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19. GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
    NeurIPS 2025 ·

    Zihao Guo

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20. GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
    AAAI 2025 ·

    Zihao Guo

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21. How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees
    ICML 2025 ·

    Haonan Yuan

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22. IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
    ICLR 2025 ·

    Jiawen Qin

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23. Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks
    IJCAI 2025 ·

    Yumeng Wang

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24. Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
    IJCAI 2025 ·

    Yudan Song

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25. OS-GCL: A One-Shot Learner in Graph Contrastive Learning
    IJCAI 2025 ·

    Cheng Ji

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26. Prompt-based Unifying Inference Attack on Graph Neural Networks
    AAAI 2025 ·

    Yuecen Wei

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27. Robust Graph Condensation via Classification Complexity Mitigation
    NeurIPS 2025 ·

    Jiayi Luo

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28. Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
    WWW 2025 ·

    Jiayi Luo

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29. ST-GCond: Self-supervised and Transferable Graph Dataset Condensation
    ICLR 2025 ·

    Beining Yang

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30. Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
    NeurIPS 2025 ·

    Yisen Gao

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31. Dynamic Graph Information Bottleneck
    WWW 2024 ·

    Haonan Yuan

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32. GC-Bench: An Open and Unified Benchmark for Graph Condensation
    NeurIPS 2024 ·

    Qingyun Sun

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33. Hyperbolic Geometric Latent Diffusion Model for Graph Generation
    ICML 2024 · Xingcheng Fu
34. Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
    AAAI 2024 ·

    Yuecen Wei

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35. ReGCL: Rethinking Message Passing in Graph Contrastive Learning
    AAAI 2024 ·

    Cheng Ji

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