Alternatives and similar repositories for GAD:

Users that are interested in GAD are comparing it to the libraries listed below

• Bayer-Group / eqgat
  Research repository for the proposed equivariant graph attention network that operates on large biomolecules proposed by Le et al. (2022)
  ☆19Updated 2 years ago
• andreeadeac22 / graph_coattention
  Work on designing a graph co-attention algorithm.
  ☆18Updated last year
• YinanHuang / 3DLinker
  An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
  ☆47Updated 2 years ago
• phermosilla / IEConv_proteins
  Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
  ☆49Updated 3 years ago
• DeepGraphLearning / GraphAF
  ☆53Updated 3 years ago
• MinkaiXu / ConfVAE-ICML21
  An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)
  ☆51Updated 3 years ago
• BenGutteridge / DRew
  ☆30Updated last year
• yuanqing-wang / rum
  Random walk unit with memory
  ☆20Updated 5 months ago
• shehzaidi / pre-training-via-denoising
  Official implementation of pre-training via denoising for TorchMD-NET
  ☆89Updated 2 years ago
• MinkaiXu / CGCF-ConfGen
  Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)
  ☆45Updated 3 years ago
• chao1224 / MoleculeSDE
  A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
  ☆32Updated 11 months ago
• vict0rsch / faenet
  ☆33Updated last month
• GRAPH-0 / CDGS
  Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
  ☆32Updated last year
• jrwnter / pigvae
  Implementation of the Paper "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning" by Robin Winter, Fran…
  ☆42Updated 2 years ago
• benatorc / OTGNN
  OTGNN code
  ☆55Updated 4 years ago
• ml-jku / vnegnn
  ☆32Updated 2 weeks ago
• gncs / graphdg
  Generative model for molecular distance geometry
  ☆38Updated last year
• georgelamb19 / chempropBayes
  Bayesian MPNNs for Molecular Property Prediction
  ☆27Updated 4 years ago
• graphcore / ogb-lsc-pcqm4mv2
  The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured …
  ☆74Updated 7 months ago
• Rose-STL-Lab / LIMO
  generative model for drug discovery
  ☆59Updated last year
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆20Updated last year
• shenoynikhil / ETFlow
  Source code for Equivariant Flow Matching for Molecular Conformer Generation
  ☆25Updated 2 months ago
• mirunacrt / synflownet
  A GFlowNet with a chemical synthesis action space.
  ☆46Updated last month
• HySonLab / Multires-Graph-Transformer
  Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures
  ☆21Updated last year
• DeepGraphLearning / CGCF-ConfGen
  Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)
  ☆22Updated 3 years ago
• KemperNiklas / FragNet
  Official Implementation of Expressivity and Generalization: Fragment-Biases for Molecular GNNs
  ☆19Updated 4 months ago
• pengxingang / MolDiff
  MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
  ☆43Updated 7 months ago
• vsomnath / holoprot
  Multi-Scale Representation Learning on Proteins (NeurIPS 2021)
  ☆47Updated last year
• DongqiFu / DPPIN
  DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022
  ☆28Updated 2 years ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆46Updated last month