Junfeng Fang

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 15

Top Topics

Avoid Overfitting

Top Venues

Publications

Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. CoRR (2024)
Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. KDD (2024)
Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He
EXGC: Bridging Efficiency and Explainability in Graph Condensation. WWW (2024)
Guibin Zhang, Yiqiao Chen, Shiyu Wang, Kun Wang, Junfeng Fang
Fortune favors the invariant: Enhancing GNNs' generalizability with Invariant Graph Learning. Knowl. Based Syst. 292 (2024)
Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts. CoRR (2024)
Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang
Invariant Graph Learning for Causal Effect Estimation. WWW (2024)
Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. CoRR (2024)
Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang
The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. KDD (2024)
Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He
EXGC: Bridging Efficiency and Explainability in Graph Condensation. CoRR (2024)
Yuan Gao, Junfeng Fang, Yongduo Sui, Yangyang Li, Xiang Wang, Huamin Feng, Yongdong Zhang
Graph Anomaly Detection with Bi-level Optimization. WWW (2024)
Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang
MolTC: Towards Molecular Relational Modeling In Language Models. ACL (Findings) (2024)
Junfeng Fang, Shuai Zhang, Chang Wu, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang, Xiangnan He
MolTC: Towards Molecular Relational Modeling In Language Models. CoRR (2024)
Kun Wang, Yuxuan Liang, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective. ICLR (2023)
Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua
Cooperative Explanations of Graph Neural Networks. WSDM (2023)
Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis. NeurIPS (2023)