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[R] A repository of graph classification research papers with implementations (deep learning, graph kernels, fingerprints, factorization)

[R] A repository of graph classification research papers with implementations (deep learning, graph kernels, fingerprints, factorization)

https://i.redd.it/w64s1gtvfga31.png

Link: https://github.com/benedekrozemberczki/awesome-graph-classification

The repository covers techniques such as deep learning, graph kernels, statistical fingerprints and factorization. I monthly update it with new papers when something comes out with code.

submitted by /u/benitorosenberg
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.