DIVE Lab, Texas A&M University

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

alphafold

Open source code for AlphaFold.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

runner

The Runner for GitHub Actions :rocket:

DIG

A library for graph deep learning research

chemprop

Message Passing Neural Networks for Molecule Property Prediction

circleci-docs

Documentation for CircleCI.

megnet

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

FENeRF

[CVPR 2022] FENeRF: Face Editing in Neural Radiance Fields

GNNLens2

Visualization tool for Graph Neural Networks

GOOD

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

MoleculeX

awesome-gnns-on-large-scale-graphs

DGFraud-TF2

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Non-local-U-Nets

Non-local U-Nets for Biomedical Image Segmentation

deepks-kit

a package for developing machine learning-based chemically accurate energy and density functional models

LibAUC

(Archived). Please visit our new repo: https://github.com/Optimization-AI/LibAUC.

Noise2Same

StructPool

The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields

WSDM2022-Challenge

WSDM2022 Challenge - Large scale temporal graph link prediction

GVTNets

Global Voxel Transformer Networks (GVTNets)

LECI

The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS 2023)

PixelTCN

Implementation of Pixel Transposed Convolutional Networks

slep

SLEP: Sparse Learning with Efficient Projections

StructPool

The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields

abo

bigneuron

ChannelNets

Tensorflow Implementation of ChannelNets (NIPS18)

MoleculeKit

vgg

Implementation of VGG