Gnn Python Packages

tensorflow-gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

gnnpcsaftpropertypackage

GNNPCSAFT CAPE-OPEN Property Package

city2graph

Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis

gnnepcsaft

GNNPCSAFT Project

torch-geometric-temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

ruvector

RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.

hugegraph-python

The integration of HugeGraph with AI/LLM & GraphRAG

causing

Causing: CAUsal INterpretation using Graphs

dgf

A Python library to develop and deploy Graph Neural Network models.

unravelsports

The unravelsports package aims to aid researchers, analysts and enthusiasts by providing intermediary steps in the complex process of turning raw sports data into meaningful information and actionable insights.

torch-geometric-signed-directed

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

tf-geometric

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

pandadock

PandaDock: Physics based Molecular Docking with GNN Scoring

torch-spatiotemporal

tsl: a PyTorch library for processing spatiotemporal data.

heterosplit

Leakage-safe entity-disjoint splits and audits for heterogeneous link-prediction datasets (PyTorch Geometric-compatible).

hugegraph-mcp

The integration of HugeGraph with AI/LLM & GraphRAG

solitairenet

Solitaire deep learning library.

mlx-cluster

High-performance graph algorithms optimized for Apple's MLX framework. Features random walks, biased random walks (Node2Vec), and neighbor sampling

ptgnn

A PyTorch Graph Neural Network Library

lamda-ssl

30 Semi-Supervised Learning Algorithms

modssc

ModSSC: A Modular Framework for Semi Supervised Classification

gnn-augment

pip install gnn-augment — graph-augmented GNNs (GCN, GraphSAGE, GAT, GIN) for semi-supervised node classification: replace the adjacency with Katz / Rooted PageRank / Graph Gravity / LLM text-embedding views, multi-view training, sparse mode for large graphs (arXiv:1905.09087)

sknnr

scikit-learn compatible estimators for various kNN imputation methods

hugegraph-llm

The integration of HugeGraph with AI/LLM & GraphRAG