Graph Neural Network Library for PyTorch

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Automated Machine Learning with scikit-learn

Implementation and experiments of graph embedding algorithms.

pytorch memory track code

Hypergraph Neural Networks (AAAI 2019)

A pytorch library for graph and hypergraph computation.

DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

This directory contains code necessary to run the GraphNAS algorithm.

Deep neural network (DNN) for noise reduction, removal of background music, and speech separation

A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong inductive bias besides other suitable architectural features.

Graph Neural Network Library for PyTorch