LGJun 22, 2023

On Addressing the Limitations of Graph Neural Networks

arXiv:2306.12640v25 citationsh-index: 12
Originality Synthesis-oriented
AI Analysis

This is an incremental summary for researchers working on graph neural networks.

The report identifies two key limitations of graph convolutional networks (GCNs): over-smoothing and heterophily challenges, and outlines future directions to address them.

This report gives a summary of two problems about graph convolutional networks (GCNs): over-smoothing and heterophily challenges, and outlines future directions to explore.

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