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Awesome Graph Classification

Graph embedding, classification and representation learning papers

A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.

Downloads: 0 This Week

Last Update: 2021-12-16
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