Search 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

solitairenet

Solitaire deep learning library.

hugegraph-python

The integration of HugeGraph with AI/LLM & GraphRAG

torch-spatiotemporal

A PyTorch library for spatiotemporal data processing

modssc

ModSSC: A Modular Framework for Semi Supervised Classification

causing

Causing: CAUsal INterpretation using Graphs

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

graph-learn

An Industrial Graph Neural Network Framework

spiga

SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks

fennlp

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

jraphx

Graph Neural Networks with JAX/NNX

ncem

ncem. Learning cell communication from spatial graphs of cells.

sknnr

scikit-learn compatible estimators for various kNN imputation methods

gnn4lp

gnn for link prediction，图神经网络用于链接预测。

sphedron

Polyhedral meshes on the unit sphere

graph-transformer

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