Graph Machine Learning Python Packages

graphdatascience

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

77K 248 60

ogb

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

62K 2K 404

hugegraph-python

The integration of HugeGraph with AI/LLM & GraphRAG

1K 144 90

stellargraph

StellarGraph - Machine Learning on Graphs

1K 3K 441

hugegraph-mcp

The integration of HugeGraph with AI/LLM & GraphRAG

510 144 90

quantum-evolution-kernel

A Graph Machine Learning library using Quantum Computing

421 59 15

hugegraph-llm

The integration of HugeGraph with AI/LLM & GraphRAG

230 144 90

gdsclient

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

149 248 60

graphspot

Inductive graph anomaly detection with a torch-free core and honest baselines

138 0 0

gigl

Gigantic Graph Learning (GiGL) Framework: Large-scale training and inference for Graph Neural Networks

61 86 22

msd-dataset

[ECCV 2024] MSD: A Benchmark Dataset for Floor Plan of Building Complexes

57 138 11

fastgraphml

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

53 67 7

tigerlily

TigerLily: Finding drug interactions in silico with the Graph.

49 100 9

stellargraph-mvisani

StellarGraph - Machine Learning on Graphs

42 3K 441