An end-to-end graph convolutional kernel support vector machine
Abstract A novel kernel-based support vector machine (SVM) for graph classification is proposed. The SVM feature space mapping consists of a sequence of graph convolutional layers, which generates a vector space representation for each vertex, followed by a pooling layer which generates a reproducin...
Main Author: | Padraig Corcoran |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-07-01
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Series: | Applied Network Science |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1007/s41109-020-00282-2 |
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