Hang Gao - RankMe

35 papers A* 8B 2Journal 20Unranked 5

Year	Rank	Type	Title / 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