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gcn-for-structure-and-function

Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"

gdc

Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)

gdl

Code for Online Graph Dictionary Learning

gdrl

Grokking Deep Reinforcement Learning

gemnet_pytorch

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

geomol

geoppi

ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

gmnn

Graph Markov Neural Networks

gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations)

gnnaskernel

Source code for From Stars to Subgraphs

google-research

Google Research

gp-vae

graph-bert

Source code of Graph-Bert

graph-generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

graph-substructure-networks

graph2seq

Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.

graphformers

graphite

Code for Graphite iterative graph generation

graphmvp

graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

graphtrans

Representing Long-Range Context for Graph Neural Networks with Global Attention

graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

grasp

grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

gtalign-evaluation

GTalign evaluation scripts

gtalign_alpha

GTalign, HPC protein structure alignment, superposition and search (alpha release)

gvp

Geometric Vector Perceptron --- a rotation-equivariant GNN for learning from biomolecular structure

gvp-pytorch

Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure

hamnet

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