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Discover 13 open source projects
Showing 1-13 of 13 projects
thunlp/GNNPapers
A comprehensive collection of must-read papers on graph neural networks (GNN) for developers.
weslynn/AlphaTree-graphic-deep-neural-network
This repository provides a roadmap and code samples for machine learning, deep learning, and related AI technologies.
benedekrozemberczki/pytorch_geometric_temporal
A PyTorch library for processing spatiotemporal graph data using neural machine learning models.
ruvnet/ruvector
High-performance vector graph neural network database in Rust for real-time AI inference and graph ML.
FighterLYL/GraphNeuralNetwork
This project provides a code repository for the book "Dive into Graph Neural Networks: Understanding GNN Principles".
snap-stanford/GraphGym
A platform for designing and evaluating Graph Neural Networks (GNNs) using Python.
THUDM/CogDL
CogDL is a comprehensive library for graph deep learning, providing state-of-the-art models and utilities for graph-based tasks.
ChandlerBang/awesome-self-supervised-gnn
A repository of papers on pretraining and self-supervised learning for graph neural networks.
alibaba/graph-learn
An industrial-grade graph neural network framework for building large-scale graph-based AI applications.
benedekrozemberczki/CapsGNN
A PyTorch implementation of the Capsule Graph Neural Network (CapsGNN) for graph classification tasks.
tsinghua-fib-lab/GNN-Recommender-Systems
A library of recommendation algorithms based on Graph Neural Networks for information retrieval and recommendation systems.
gunrock/gunrock
Programmable CUDA/C++ GPU Graph Analytics library for high-performance parallel graph processing.
RexYing/gnn-model-explainer
An explainable GNN (Graph Neural Network) library for interpreting and understanding GNN models.
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