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A collection of important graph embedding, classification and representation learning papers with implementations.
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benedekrozemberczki/awesome-graph-classification
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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[here].
Similar collections aboutcommunity detection,classification/regression tree,fraud detection,Monte Carlo tree search, andgradient boosting papers with implementations.
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A collection of important graph embedding, classification and representation learning papers with implementations.
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