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Hang Gao

7 papers at tracked venues · 5 at CORE A* · active 2024–2025

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Venues

AAAI ×3ICML ×2ECML-PKDD ×1IJCAI ×1

Frequent coauthors

Rui Wang
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Jiangmeng Li
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Chengyu Yao
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Papers

  1. Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
    AAAI 2025 · Hang Gao
  2. LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
    ICML 2025 · Hang Gao
  3. Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning
    IJCAI 2025 · Hang Gao
  4. Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
    ICML 2024 ·
    Rui Wang
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  5. Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning
    AAAI 2024 ·
    Jiangmeng Li
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  6. Molecular Graph Representation Learning via Structural Similarity Information
    ECML-PKDD 2024 ·
    Chengyu Yao
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  7. Rethinking Causal Relationships Learning in Graph Neural Networks
    AAAI 2024 · Hang Gao