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3dinfomax

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

alphafold

Open source code for AlphaFold.

ankita-v2

Config files for my GitHub profile.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

care-gnn

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

dtufold

equibind

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

gnnpapers

Must-read papers on graph neural networks (GNN)

grail

Inductive relation prediction by subgraph reasoning, ICML'20

nash-detect

Code for KDD 2020 paper Robust Spammer Detection by Nash Reinforcement Learning

patrickstar

PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.

python

All Algorithms implemented in Python

pytorch_sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

spacy

💫 Industrial-strength Natural Language Processing (NLP) in Python

spektral

Graph Neural Networks with Keras and Tensorflow 2.

synthetic_coordinates

Synthetic coordinates for GNNs, as proposed in "Directional Message Passing on Molecular Graphs via Synthetic Coordinates" (NeurIPS 2021)

thinc

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

youtube-dl

Command-line program to download videos from YouTube.com and other video sites