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.

Contents

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

Awesome Graph Classification

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

Awesome Graph Classification Info

⭐ Stars 3766
🔗 Source Code github.com
🕒 Last Update 9 months ago
🕒 Created 3 years ago
🐞 Open Issues 0
➗ Star-Issue Ratio Infinity
😎 Author benedekrozemberczki