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benedekrozemberczki
4.3K Stars 729 Forks Creative Commons Zero v1.0 Universal 417 Commits 0 Opened issues

Description

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

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# 1,148
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pytorch
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Awesome Graph Classification

Awesome PRs Welcome License repo sizebenedekrozemberczki

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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