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Discover 11 open source projects
Showing 1-11 of 11 projects
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow for machine learning on graph-structured data.
PetarV-/GAT
A Python library that implements Graph Attention Networks, a powerful neural network architecture for graph-structured data.
facebookresearch/PyTorch-BigGraph
A powerful graph embedding library for generating node embeddings from large-scale graph-structured data.
spcl/graph-of-thoughts
An open-source implementation of the 'Graph of Thoughts' technique for solving complex problems with large language models.
microsoft/DiskANN
A scalable, fast, and efficient approximate nearest neighbor search library written in Rust.
eliorc/node2vec
A Python implementation of the node2vec algorithm for learning embeddings from graph-structured data.
dair-ai/GNNs-Recipe
A comprehensive guide to learning about Graph Neural Networks (GNNs), a powerful deep learning technique for processing graph-structured data.
VeritasYin/STGCN_IJCAI-18
A Python library for spatio-temporal graph convolutional networks, a type of graph neural network for modeling graph-structured data.
seongjunyun/Graph_Transformer_Networks
An implementation of Graph Transformer Networks, a neural network architecture for graph-structured data.
oss-bandb/GraphView
Android GraphView is a library for displaying data in graph structures on Android apps.
PacktPublishing/Hands-On-Graph-Neural-Networks-Using-Python
A Python library for building and training graph neural networks, a powerful technique for modeling graph-structured data.
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