DIVE Lab, Texas A&M University

DIG

A library for graph deep learning research

AIRS

Artificial Intelligence Research for Science (AIRS)

GOOD

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

MoleculeX

lgcn

Non-local-U-Nets

Non-local U-Nets for Biomedical Image Segmentation

GraphBP

Official implementation of "Generating 3D Molecules for Target Protein Binding" [ICML2022 Long Presentation]

DeeperGNN

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

Noise2Same

Non-Local-GNN

Official implementation of "Non-Local Graph Neural Networks" [TPAMI]

LGLP

LECI

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

sopool

Second-Order Pooling for Graph Neural Networks

ATTA

Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]

DIG_storage

Save data or other files for DIG library usage

gunet

Pytorch implementation of Graph U-Nets (ICML19)

Neighbor2Seq

Official implementation of "Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences" [SDM2022]

RMwGGIS

Official implementation of "Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models" [ICLR2023]

GVTNets

Global Voxel Transformer Networks (GVTNets)

StructPool

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

AEANets

AEANets

wsdmcup2022

wsdmcup2022

3dem

Code for Cremi Task

cleftnet

cleftnet

MoleculeKit

DGML-master

divelab

DrugOOD

OOD Dataset Curator and Benchmark for AI-aided Drug Discovery

sensors

ForgetNet