benedekrozemberczki / awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
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Repository Overview (README excerpt)
Crawler viewAwesome 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]](https://github.com/shiruipan/graph_datasets). Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations. ------------------------------------------------- Contents • Matrix Factorization • Spectral and Statistical Fingerprints • Deep Learning • Graph Kernels ----------------------------------------------- **License** • CC0 Universal