Graph Neural Network Library for PyTorch
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Python package built to ease deep learning on graph, on top of existing DL frameworks.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
links to conference publications in graph-based deep learning
A unified, comprehensive and efficient recommendation library
StellarGraph - Machine Learning on Graphs
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Graph Neural Networks with Keras and Tensorflow 2.
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
An autoML framework & toolkit for machine learning on graphs.
Python package for graph neural networks in chemistry and biology
A knowledge graph and a set of tools for drug repurposing
A Euclidean diffusion model for structure-based drug design.
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).