An End-to-End Deep Learning Architecture for Graph Classification
Neural networks are typically designed to deal with data in tensor forms. In this paper, we propose a novel neural network architecture accepting graphs of arbitrary structure. ...
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1 shownFrequent Co-Authors
Researcher Info
- h-index
- 1
- Publications
- 1
- Citations
- 1,440
- Institution
- Washington University in St. Louis
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h-index
1
h-index: Number of publications with at least h citations each.