ES-GNN: Generalizing Graph Neural Networks Beyond Homophily With Edge Splitting

被引：0
|
作者：
Guo, Jingwei [1 ,2 ]
Huang, Kaizhu [3 ]
Zhang, Rui [2 ]
Yi, Xinping [4 ]
机构：
[1] University Of Liverpool, Liverpool,L69 7ZX, United Kingdom
[2] Xi'an Jiaotong-Liverpool University, Suzhou,215000, China
[3] Duke Kunshan University, Suzhou,215316, China
[4] Southeast University, Nanjing,210096, China
来源：
IEEE Transactions on Pattern Analysis and Machine Intelligence | 2024年 / 46卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Disentangled representation learning - Edge-splitting - Graph mining - Graph neural networks - Heterophilic graph - Homophily - Inductive bias - Real-world networks - Subgraphs - Task relevant;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
102
引用
收藏
页码：11345 / 11360
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