Stars
A generative model for programmable protein design
Because we don't have enough time to read everything
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
Paper list for equivariant neural network
Message Passing Neural Networks for Molecule Property Prediction
A Rust implementation of MinHash trying to be parsimonious with memory.
Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)
Official Repository for the Uni-Mol Series Methods
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
jctops / tf-gnn-samples
Forked from microsoft/tf-gnn-samplesTensorFlow implementations of Graph Neural Networks
Refining continuous-in-depth neural networks
Graph Neural Network Library for PyTorch
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
predicting the occupation and income of Twitter users using graph embeddings