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SoGCN: Second-Order Graph Convolutional Networks

Graph Convolutional Networks (GCNs) with multi-hop aggregation is more expressive than one-hop GCN but suffers from higher model complexity. Finding the shortest aggregation range that achieves comparable expressiveness and minimizes this side effect remains an open question.

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Cite this as

Peihao Wang, Yuehao Wang, Hua Lin, Jianbo Shi (2024). Dataset: SoGCN: Second-Order Graph Convolutional Networks. https://doi.org/10.57702/xo2lprh7

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2110.07141
Author	Peihao Wang
More Authors	Yuehao Wang Hua Lin Jianbo Shi