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DIG
A library for graph deep learning researchAIRS
Artificial Intelligence Research for Science (AIRS)GOOD
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]MoleculeX
lgcn
GraphBP
Official implementation of "Generating 3D Molecules for Target Protein Binding" [ICML2022 Long Presentation]Noise2Same
dtn
Non-Local-GNN
Official implementation of "Non-Local Graph Neural Networks" [TPAMI]vqa-text
deepem3d
LECI
The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS 2023)ATTA
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]svae
Tensorflow implementation of Spatial VAE via Matrix-Variate Normal Distributionscompletion
DIG_storage
Save data or other files for DIG library usageGPT
RMwGGIS
Official implementation of "Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models" [ICLR2023]msvae
crnn
slep
SLEP: Sparse Learning with Efficient Projectionscgan
Computational Modeling of Cellular Structures Using Conditional Deep Generative NetworksAEANets
AEANetswsdmcup2022
wsdmcup2022MoleculeKit
3dem
Code for Cremi Taskcleftnet
cleftnetbigneuron
VoxelDCN
icnn
vgg
Implementation of VGGsensors
divelab
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