Yao Cheng

22 papers A* 6Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A survey on learning from graphs with heterophily: recent advances and future directions.
Frontiers Comput. Sci.
Cheng-Hua Gong, Yao Cheng, Jian-Xiang Yu, Can Xu, Cai-Hua Shan, Siqiang Luo, Xiang Li
2026 A* conf
Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving.
AAAI
Yao Cheng, Yibo Zhao, Jiapeng Zhu, Yao Liu, Xing Sun, Xiang Li
2025 A* conf
Can Large Language Models Act as Ensembler for Multi-GNNs?
EMNLP
Hanqi Duan, Yao Cheng, Jianxiang Yu, Yao Liu, Xiang Li
2025 J jnl
Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving.
CoRR
Yao Cheng, Yibo Zhao, Jiapeng Zhu, Yao Liu, Xing Sun, Xiang Li
2025 A* conf
Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks (Extended Abstract).
ICDE
Yao Cheng, Minjie Chen, Caihua Shan, Xiang Li
2025 — conf
SEAGraph: Unveiling the Whole Story of Paper Review Comments.
IJCNLP-AACL (long papers)
Jianxiang Yu, Jiaqi Tan, Zichen Ding, Jiapeng Zhu, Jiahao Li, Yao Cheng, Qier Cui, Yunshi Lan, Yao Liu, Xiang Li
2025 — conf
Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes.
KDD (1)
Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang
2024 J jnl
Boosting Graph Foundation Model from Structural Perspective.
CoRR
Yao Cheng, Yige Zhao, Jianxiang Yu, Xiang Li
2024 J jnl
Can Large Language Models Act as Ensembler for Multi-GNNs?
CoRR
Hanqi Duan, Yao Cheng, Jianxiang Yu, Xiang Li
2024 J jnl
Improving Graph Out-of-distribution Generalization on Real-world Data.
CoRR
Can Xu, Yao Cheng, Jianxiang Yu, Haosen Wang, Jingsong Lv, Xiang Li
2024 J jnl
Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Yao Cheng, Minjie Chen, Caihua Shan, Xiang Li
2024 A* conf
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise.
KDD
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
2024 J jnl
SEAGraph: Unveiling the Whole Story of Paper Review Comments.
CoRR
Jianxiang Yu, Jiaqi Tan, Zichen Ding, Jiapeng Zhu, Jiahao Li, Yao Cheng, Qier Cui, Yunshi Lan, Xiang Li
2024 — conf
Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks.
ECML/PKDD (2)
Chenghua Gong, Xiang Li, Jianxiang Yu, Yao Cheng, Jiaqi Tan, Chengcheng Yu
2024 J jnl
Towards Learning from Graphs with Heterophily: Progress and Future.
CoRR
Chenghua Gong, Yao Cheng, Jianxiang Yu, Can Xu, Caihua Shan, Siqiang Luo, Xiang Li
2023 A* conf
Graph Self-Contrast Representation Learning.
ICDM
Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao
2023 J jnl
Graph Self-Contrast Representation Learning.
CoRR
Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao
2023 J jnl
Label Propagation for Graph Label Noise.
CoRR
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
2023 J jnl
Prioritized Propagation in Graph Neural Networks.
CoRR
Yao Cheng, Minjie Chen, Xiang Li, Caihua Shan, Ming Gao
2023 J jnl
Self-supervised Heterogeneous Graph Variational Autoencoders.
CoRR
Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang
2022 A* conf
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.
ICML
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
2022 J jnl
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.
CoRR
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian