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benedekrozemberczki/awesome-graph-classification

Python

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

graph2vecclassification-algorithmgraph-kernelsweisfeiler-lehmankernel-methodsdeep-graph-kernelsnetlsdgraph-attention-modelgraph-attention-networksstructural-attentionattention-mechanismgraph-kernel
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juil. 2018mars 2021nov. 2023juil. 2026
ArtefactsPyPIpip install awesome-graph-classification
README

Awesome Graph Classification

Awesome PRs Welcome License repo size benedekrozemberczki

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

License

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