Multi-dimensional Graph Convolutional Networks

SDM, Volume abs/1808.06099, 2019, Pages 657-665.

Cited by: 19|Bibtex|Views115
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Convolutional neural networks (CNNs) leverage the great power in representation learning on regular grid data such as image and video. Recently, increasing attention has been paid on generalizing CNNs to graph or network data which is highly irregular. Some focus on graph-level representation learning while others aim to learn node-level ...More

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