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benedekrozemberczki / awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.
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attention-mechanism classification-algorithm deep-graph-kernels deepwalk graph-attention-model graph-attention-networks graph-classification graph-convolutional-networks graph-embedding graph-kernel graph-kernels graph-representation-learning graph2vec kernel-methods netlsd network-embedding node-embedding node2vec structural-attention weisfeiler-lehman

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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 about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.

Contents

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

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