Hang Gao

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

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Venues

AAAI ×3 ICML ×2 ECML-PKDD ×1 IJCAI ×1

Frequent coauthors

Fengge Wu

×5

Changwen Zheng

×5

Junsuo Zhao

×4

Huaping Liu

×4

Chenhao Zhang

×2

Jiangmeng Li

×2

Yifan Jin

×2

Chengyu Yao

×2

Wenxuan Huang

×1

Tie Wang

×1

Rui Wang

×1

Elyssa F. Hofgard

×1

Papers

Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
AAAI 2025 · Hang Gao,
Chenhao Zhang
,
Fengge Wu
,
Changwen Zheng
,
Junsuo Zhao
,
Huaping Liu
LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
ICML 2025 · Hang Gao,
Wenxuan Huang
,
Fengge Wu
,
Junsuo Zhao
,
Changwen Zheng
,
Huaping Liu
Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning
IJCAI 2025 · Hang Gao,
Chenhao Zhang
,
Tie Wang
,
Junsuo Zhao
,
Fengge Wu
,
Changwen Zheng
,
Huaping Liu
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
ICML 2024 ·
Rui Wang
,
Elyssa F. Hofgard
, Hang Gao,
Robin Walters
,
Tess E. Smidt
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning
AAAI 2024 ·
Jiangmeng Li
,
Yifan Jin
, Hang Gao,
Wenwen Qiang
,
Changwen Zheng
,
Fuchun Sun
Molecular Graph Representation Learning via Structural Similarity Information
ECML-PKDD 2024 ·
Chengyu Yao
,
Hong Huang
, Hang Gao,
Fengge Wu
,
Haiming Chen
,
Junsuo Zhao
Rethinking Causal Relationships Learning in Graph Neural Networks
AAAI 2024 · Hang Gao,
Chengyu Yao
,
Jiangmeng Li
,
Lingyu Si
,
Yifan Jin
,
Fengge Wu
,
Changwen Zheng
,
Huaping Liu