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2024 ICML ICML 2024

How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing

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

Keke Huang, Yu Guang Wang, Ming Li, Pietro Lió

Topics

Artificial Intelligence > Core AI > Interpretability Machine Learning > Core Methods > Representation Learning Deep Learning > Architectures > Graph Neural Networks

Keywords

graph filter over smoothing over-squashing heterophily degree polynomial bases universal polynomial basis
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