Hang Gao

35 papers A* 8B 2Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Code Analysis via Graph-Guided Large Language Models.
CoRR
Hang Gao, Tao Peng, Baoquan Cui, Hong Huang, Fengge Wu, Junsuo Zhao, Jian Zhang
2025 A* conf
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach.
AAAI
Hang Gao, Chenhao Zhang, Fengge Wu, Changwen Zheng, Junsuo Zhao, Huaping Liu
2025 B conf
Bootstrapping Heterophily Graph Representation Learning via a Large Language Model-Based Approach.
ICTAI
Wenxuan Huang, Fengge Wu, Hang Gao, Junsuo Zhao
2025 J jnl
Heterogeneous Attributed Graph Learning via Neighborhood-Aware Star Kernels.
CoRR
Hong Huang, Chengyu Yao, Haiming Chen, Hang Gao
2025 A* conf
LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification.
ICML
Hang Gao, Wenxuan Huang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu
2025 J jnl
Large Language Model Enhancers for Graph Neural Networks: An Analysis from the Perspective of Causal Mechanism Identification.
CoRR
Hang Gao, Wenxuan Huang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu
2025 A* conf
Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning.
IJCAI
Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu
2025 J jnl
Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning.
CoRR
Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu
2024 J jnl
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach.
CoRR
Hang Gao, Chenhao Zhang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu
2024 A* conf
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution.
ICML
Rui Wang, Elyssa F. Hofgard, Hang Gao, Robin Walters, Tess E. Smidt
2024 J jnl
Graph Partial Label Learning with Potential Cause Discovering.
CoRR
Hang Gao, Jiaguo Yuan, Jiangmeng Li, Chengyu Yao, Fengge Wu, Junsuo Zhao, Changwen Zheng
2024 A* conf
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning.
AAAI
Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun
2024 J jnl
Introducing Diminutive Causal Structure into Graph Representation Learning.
CoRR
Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng
2024 J jnl
Introducing diminutive causal structure into graph representation learning.
Knowl. Based Syst.
Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng
2024 B conf
Learning Node Representations Under Partial Label Learning.
IJCNN
Jiaguo Yuan, Hang Gao, Fengge Wu, Junsuo Zhao
2024 — conf
Molecular Graph Representation Learning via Structural Similarity Information.
ECML/PKDD (3)
Chengyu Yao, Hong Huang, Hang Gao, Fengge Wu, Haiming Chen, Junsuo Zhao
2024 J jnl
Molecular Graph Representation Learning via Structural Similarity Information.
CoRR
Chengyu Yao, Hong Huang, Hang Gao, Fengge Wu, Haiming Chen, Junsuo Zhao
2024 A* conf
Rethinking Causal Relationships Learning in Graph Neural Networks.
AAAI
Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu
2024 J jnl
Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering.
Knowl. Based Syst.
Yuanyuan Guo, Zehua Zang, Hang Gao, Xiao Xu, Rui Wang, Lixiang Liu, Jiangmeng Li
2023 J jnl
A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation.
CoRR
Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng
2023 J jnl
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning.
CoRR
Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun
2023 J jnl
Information Theory-Guided Heuristic Progressive Multi-View Coding.
CoRR
Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng
2023 J jnl
Information theory-guided heuristic progressive multi-view coding.
Neural Networks
Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng
2023 J jnl
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective.
CoRR
Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Xingzhe Su, Fengge Wu, Changwen Zheng, Fuchun Sun
2023 — conf
Introducing Semantic-Based Receptive Field into Semantic Segmentation via Graph Neural Networks.
ICONIP (6)
Daixi Jia, Hang Gao, Xingzhe Su, Fengge Wu, Junsuo Zhao
2023 J jnl
Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation.
CoRR
Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng
2023 J jnl
Rethinking Causal Relationships Learning in Graph Neural Networks.
CoRR
Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu
2023 A* conf
Robust Causal Graph Representation Learning against Confounding Effects.
AAAI
Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun
2023 — conf
SkaNet: Split Kernel Attention Network.
ICANN (5)
Lipeng Chen, Daixi Jia, Hang Gao, Fengge Wu, Junsuo Zhao
2023 J jnl
Unsupervised Social Event Detection via Hybrid Graph Contrastive Learning and Reinforced Incremental Clustering.
CoRR
Yuanyuan Guo, Zehua Zang, Hang Gao, Xiao Xu, Rui Wang, Lixiang Liu, Jiangmeng Li
2022 A* conf
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach.
IJCAI
Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng
2022 J jnl
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach.
CoRR
Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Changwen Zheng, Fuchun Sun
2022 J jnl
Robust Causal Graph Representation Learning against Confounding Effects.
CoRR
Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun
2022 — conf
Self-supervised Graph Learning with Segmented Graph Channels.
ECML/PKDD (2)
Hang Gao, Jiangmeng Li, Changwen Zheng
2022 — conf
Weight-Aware Graph Contrastive Learning.
ICANN (2)
Hang Gao, Jiangmeng Li, Peng Qiao, Changwen Zheng