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Graph Machine Learning Python Packages

Python packages with the GitHub topic graph-machine-learning. Sorted by relevance, with stars and monthly downloads.
snap-stanford
ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

109K 2K 408
neo4j
graphdatascience

A Python client for the Neo4j Graph Data Science (GDS) library

66K 242 58
stellargraph
stellargraph

StellarGraph - Machine Learning on Graphs

2K 3K 442
rodrigo-arenas
graph-embeddings

Graph and Nodes embeddings for downstream tasks

2K 5 2
neo4j
gdsclient

A Python client for the Neo4j Graph Data Science (GDS) library

1K 242 58
apache
hugegraph-python

A Python SDK for Apache HugeGraph

676 135 85
pasqal-io
quantum-evolution-kernel

A Graph Machine Learning library using Quantum Computing

501 57 13
caspervanengelenburg
msd-dataset

MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes

492 123 11
arangoml
fastgraphml

Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.

266 68 7
apache
hugegraph-llm

The integration of HugeGraph with AI/LLM & GraphRAG

260 135 85
stellargraph
stellargraph-mvisani

StellarGraph - Machine Learning on Graphs

170 3K 442
Snapchat
gigl

TODO

139 81 18
benedekrozemberczki
tigerlily

TigerLily: Finding drug interactions in silico with the Graph.

90 100 9
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