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2024 ICML ICML 2024

Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan

Topics

Machine Learning > Core Methods > Representation Learning Deep Learning > Architectures > Graph Neural Networks

Keywords

message passing graph convolutional network over smoothing over-squashing heterophily mixing multi-track
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