Explore Projects
Discover 39 open source projects
Showing 21-39 of 39 projects
pygod-team/pygod
A Python library for graph-based anomaly detection and outlier detection, useful for fraud detection and security applications.
google-deepmind/jraph
A Graph Neural Network Library in Jax for building AI-powered graph-based applications.
LirongWu/awesome-graph-self-supervised-learning
A library for self-supervised learning on graphs, providing contrastive, generative, and predictive pretext tasks.
mdeff/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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.
dair-ai/GNNs-Recipe
A comprehensive guide to learning about Graph Neural Networks (GNNs), a powerful deep learning technique for processing graph-structured data.
weihua916/powerful-gnns
Exploring the capabilities of Graph Neural Networks (GNNs) with Python
amaiya/ktrain
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Jhy1993/HAN
A heterogeneous graph neural network library for advanced graph representation learning.
lightaime/deep_gcns_torch
A PyTorch library for Deep Graph Convolutional Networks (DeepGCNs) and other graph neural network models.
a-r-j/graphein
Graphein is a Python library for building and analyzing protein interaction graphs for drug discovery and computational biology.
xiangwang1223/knowledge_graph_attention_network
A knowledge graph attention network for building explainable recommendation systems.
THUMNLab/AutoGL
An AutoML framework & toolkit for machine learning on graphs, using PyTorch and PyTorch Geometric.
DSE-MSU/DeepRobust
A PyTorch library for attacking and defending deep learning models against adversarial examples.
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.
snap-stanford/pretrain-gnns
Strategies for pre-training graph neural networks for better performance on graph-based machine learning tasks.
graphdeeplearning/graphtransformer
Graph Transformer Architecture for developing graph neural networks with attention mechanisms.
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