## 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__

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

Under __Creative Commons Zero v1.0 Universal__

By __benedekrozemberczki__

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

- Matrix Factorization
- Spectral and Statistical Fingerprints
- Deep Learning
- Graph Kernels

**License**

- CC0 Universal