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benedekrozemberczki/awesome-graph-classification
PythonA collection of important graph embedding, classification and representation learning papers with implementations.
graph2vecclassification-algorithmgraph-kernelsweisfeiler-lehmankernel-methodsdeep-graph-kernelsnetlsdgraph-attention-modelgraph-attention-networksstructural-attentionattention-mechanismgraph-kernel
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pip install awesome-graph-classificationREADME
Awesome Graph Classification
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 about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.
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