Graph Classification
4 projects
Showing 4 of 4 projects
Awesome Graph EmbeddingPython
A curated collection of graph classification papers with reference implementations covering embedding, deep learning, kernels, and factorization.
#graph-neural-networks#graph2vec#research-papers
Stars4.8k
Forks727
Last commit
Awesome graph classificationPython
A curated collection of graph classification papers with implementations covering embeddings, deep learning, kernels, and factorization.
#graph-neural-networks#graph2vec#research-papers
Stars4.8k
Forks727
Last commit
Karate Club - An unsupervised machine learning library for graph structured dataPython
An API-oriented Python framework for unsupervised learning on graphs, featuring node/graph embeddings and community detection.
#deepwalk#networkx#python-library
Stars2.3k
Forks255
Last commit
Auto Graph LearningPython
An autoML framework and toolkit for automating machine learning tasks on graph-structured data.
#graph-neural-networks#node-classification#dgl
Stars1.1k
Forks123
Last commit6 months ago
Related Tags
Community-curated · Updated weekly · 100% open source
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.