A library for graph deep learning research

Probably the best curated list of data science software in Python.

A curated list of adversarial attacks and defenses papers on graph-structured data.

MagNet for node classification

Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)

Code for the manim-generated scenes used in 3blue1brown videos

MagNet graph convolutional network

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

Topic Modelling for Humans

Python library to access Gene Expression Omnibus Database (GEO)

Platform for designing and evaluating Graph Neural Networks (GNN)

A NetworkX addon to compute the graph Ricci curvature and Ricci flow.

A Framework for Graph Sampling and Random Walk on GPUs.

Pytest plugin configuring handlers for loggers from Python logging module.

gSparse: C++ Library for Graph Sparsification

Network Density of States (https://arxiv.org/abs/1905.09758) (KDD 2019)

Distributed Evolutionary Algorithms in Python

Non official project based on original /r/Deepfakes thread. Many thanks to him!

Deep Network Fusion (deepNF)

Parallel t-SNE implementation with Python and Torch wrappers.

Generate vector embeddings for music