Machine learning with graphs
Теги: ml
graph-based-deep-learning-literature
Библиотеки, работающие с графами:
- Networkx
- Scikit-Network
- graph-tool
- dgl.ai
- igraph
- networkit
- SNAP
- deep snap
- Бенчмарк
- CSRGraphs - Fast and memory efficient library for large read-only graphs
- nodevectors some alghoritms, depends on CSRGraphs
- torchpr (Personalized) Page-Rank computation using PyTorch
- karateclub is an unsupervised machine learning extension library for NetworkX
- GraphWorld toolbox for graph learning researchers to systematically test new models on synthetic graph datasets. More info
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GraphGalery GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs)
- Tools created by the OSoMe team
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