Gnn Python Packages

torch-geometric-temporal

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

tensorflow-gnn

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

torch-geometric-signed-directed

An Extension Library for PyTorch Geometric on signed and directed networks.

city2graph

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

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

A PyTorch library for spatiotemporal data processing

hugegraph-python

The integration of HugeGraph with AI/LLM & GraphRAG

causing

Causing: CAUsal INterpretation using Graphs

solitairenet

Solitaire deep learning library.

modssc

ModSSC: A Modular Framework for Semi Supervised Classification

ptgnn

A PyTorch Graph Neural Network Library

unravelsports

A project to analyze sports event and tracking data

mlx-cluster

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

lamda-ssl

30 Semi-Supervised Learning Algorithms

fennlp

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

graph-learn

An Industrial Graph Neural Network Framework

spiga

SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks

jraphx

Graph Neural Networks with JAX/NNX

ncem

Learning cell communication from spatial graphs of cells

sknnr

scikit-learn compatible estimators for various kNN imputation methods

graph-transformer

An unofficial implementation of Graph Transformer (Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification) - IJCAI 2021

sphedron

Polyhedral meshes on the unit sphere

gnn4lp

gnn for link prediction，图神经网络用于链接预测。