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.