Graph Convolutional Networks (2016)

Re:Graph Convolutional Networks (2016) by jesseab on Tuesday April 23, 2019 @04:32PM (#19732536)

Has there been any recent progress on GCNs or similar for embedding graphs rather than nodes?

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Re:Graph Convolutional Networks (2016) by wjn0 on Tuesday April 23, 2019 @10:38PM (#19735094)

Yes. This problem is of particular importance in drug response prediction, where small molecules are represented as graphs where the atoms are nodes and the bonds are edges. These are difficult to work with because of the variability in the number of nodes.

[1] https://arxiv.org/abs/1509.09292

[2] https://arxiv.org/abs/1603.00856

[3] http://proceedings.mlr.press/v48/niepert16.html

[4] https://persagen.com/files/misc/xu2017seq2seq.pdf (PDF)

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