Dissecting Graph Neural Networks on Graph Classification

arXiv: Learning, 2019.

Cited by: 0|Bibtex|Views25
Other Links: academic.microsoft.com|arxiv.org

Abstract:

Graph Neural Nets (GNNs) have received increasing attentions, partially due to their superior performance in many node and graph classification tasks. However, there is a lack of understanding on what they are learning and how sophisticated the learned graph functions are. In this work, we first propose Graph Feature Network (GFN), a si...More

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