Awesome Graph Classification

A collection of important graph embedding, classification and representation learning papers with implementations.
Under Creative Commons Zero v1.0 Universal
By benedekrozemberczki

attention-mechanism graph-convolutional-networks graph-representation-learning network-embedding deepwalk node2vec graph-classification graph-embedding node-embedding structural-attention graph-attention-networks classification-algorithm graph2vec graph-kernels weisfeiler-lehman kernel-methods deep-graph-kernels netlsd graph-attention-model graph-kernel

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.


  1. Matrix Factorization

  2. Spectral and Statistical Fingerprints

  3. Deep Learning

  4. Graph Kernels