论图神经网络的局限性及其应对
机器学习
2023-07-04 v2
摘要
本报告总结了关于图卷积网络（GCNs）的两个问题：过平滑与异配挑战，并概述了未来探索方向。
引用
@article{arxiv.2306.12640,
title = {On Addressing the Limitations of Graph Neural Networks},
author = {Sitao Luan},
journal= {arXiv preprint arXiv:2306.12640},
year = {2023}
}
备注
Proposal report and a concise version of Sitao Luan's thesis. The weight initialization part is quite interesting but will not be included in Sitao's formal thesis, thus Sitao put this preprint report online. arXiv admin note: substantial text overlap with arXiv:2109.05641, arXiv:2210.07606