May 14, 2020

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A collection of important graph embedding, classification and representation learning papers with implementations.

repo name benedekrozemberczki/awesome-graph-classification
repo link
language Python
size (curr.) 1977 kB
stars (curr.) 3514
created 2018-07-14
license Creative Commons Zero v1.0 Universal

Awesome Graph Classification

Awesome PRs Welcome License

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.


  1. Matrix Factorization
  2. Spectral and Statistical Fingerprints
  3. Deep Learning
  4. Graph Kernels
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