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An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by divelab
A curated list of projects in awesome lists by divelab .
https://github.com/divelab/DIG
A library for graph deep learning research
3d-graph deep-learning explainable-ml graph-generation graph-neural-network self-supervised-learning
Last synced: 31 Oct 2024
https://github.com/divelab/dig
A library for graph deep learning research
3d-graph deep-learning explainable-ml graph-generation graph-neural-network self-supervised-learning
Last synced: 14 Oct 2024
https://github.com/divelab/airs
Artificial Intelligence Research for Science (AIRS)
Last synced: 11 Nov 2024
https://github.com/divelab/AIRS
Artificial Intelligence Research for Science (AIRS)
Last synced: 30 Oct 2024
https://github.com/divelab/good
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
deep-learning distribution-shift graph-neural-networks graph-ood invariant-learning out-of-distribution-generalization pytorch pytorch-geometric
Last synced: 11 Nov 2024
https://github.com/divelab/GOOD
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
deep-learning distribution-shift graph-neural-networks graph-ood invariant-learning out-of-distribution-generalization pytorch pytorch-geometric
Last synced: 05 Nov 2024
https://github.com/divelab/graphbp
Official implementation of "Generating 3D Molecules for Target Protein Binding" [ICML2022 Long Presentation]
Last synced: 11 Nov 2024
https://github.com/divelab/DeeperGNN
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Last synced: 08 Aug 2024
https://github.com/divelab/leci
The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS 2023)
deep-learning graph-neural-networks graph-out-of-distriubion out-of-distribution-generalization pytorch pytorch-geometric
Last synced: 11 Nov 2024
https://github.com/divelab/svae
Tensorflow implementation of Spatial VAE via Matrix-Variate Normal Distributions
Last synced: 11 Nov 2024
https://github.com/divelab/non-local-gnn
Official implementation of "Non-Local Graph Neural Networks" [TPAMI]
Last synced: 11 Nov 2024
https://github.com/divelab/dig_storage
Save data or other files for DIG library usage
Last synced: 11 Nov 2024
https://github.com/divelab/neighbor2seq
Official implementation of "Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences" [SDM2022]
Last synced: 11 Nov 2024
https://github.com/divelab/rmwggis
Official implementation of "Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models" [ICLR2023]
Last synced: 11 Nov 2024
https://github.com/divelab/slep
SLEP: Sparse Learning with Efficient Projections
Last synced: 11 Nov 2024
https://github.com/divelab/atta
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]
active-learning active-test-time-adaptation domain-adaptation test-time-adaptation
Last synced: 11 Nov 2024
https://github.com/divelab/cgan
Computational Modeling of Cellular Structures Using Conditional Deep Generative Networks
Last synced: 11 Nov 2024
https://github.com/divelab/mfa
Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
Last synced: 11 Nov 2024
https://github.com/divelab/bioimage
Website for NSF project: III: Small: Deep Learning for Expression Pattern Image Analysis
Last synced: 11 Nov 2024