Alternatives and similar repositories for GGM_LOG_Tutorial

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

• azminewasi / Awesome-Graph-Research-ICLR2025
  It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…
  ☆41Updated 6 months ago
• MinkaiXu / EGNO
  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
  ☆56Updated last year
• cvignac / MiDi
  MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
  ☆105Updated 11 months ago
• microsoft / two-for-one-diffusion
  This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…
  ☆66Updated last year
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆135Updated 3 years ago
• AlexDuvalinho / geometric-gnns
  List of Geometric GNNs for 3D atomic systems
  ☆115Updated last year
• vgsatorras / en_flows
  ☆59Updated 3 years ago
• vict0rsch / faenet
  ☆33Updated 7 months ago
• chaitjo / geometric-rna-design
  gRNAde: Geometric Deep Learning for 3D RNA inverse design (ICLR 2025 Spotlight)
  ☆212Updated 6 months ago
• RobDHess / Steerable-E3-GNN
  E(3) Steerable Graph Neural Network
  ☆122Updated 2 years ago
• mouthful / ClofNet
  ☆23Updated last year
• Dunni3 / FlowMol
  Mixed continous/categorical flow-matching model for de novo molecule generation.
  ☆156Updated last week
• azminewasi / Awesome-MoML-ICLR25
  ALL Molecular ML papers from ICLR'25.
  ☆37Updated 5 months ago
• kyonofx / mlcgmd
  [TMLR 2023] Simulate time-integrated coarse-grained MD with multi-scale graph neural networks
  ☆72Updated 2 years ago
• Bayer-Group / eqgat
  Research repository for the proposed equivariant graph attention network that operates on large biomolecules proposed by Le et al. (2022)
  ☆20Updated 2 years ago
• martaskrt / fkc-diffusion
  ☆32Updated 2 months ago
• nataliemaus / lolbo
  ☆30Updated 2 years ago
• MJ10 / BioSeq-GFN-AL
  Code for "Biological Sequence Design with GFlowNets", 2022
  ☆74Updated 2 years ago
• leojklarner / context-guided-diffusion
  Code for the paper Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
  ☆39Updated last year
• GenSI-THUAIR / MolFM
  Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"
  ☆37Updated last year
• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆83Updated 10 months ago
• yuanqing-wang / rum
  Random walk unit with memory
  ☆23Updated 11 months ago
• HannesStark / 3DInfomax
  Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
  ☆169Updated last year
• WillHua127 / mudiff
  ☆18Updated 2 years ago
• wenhao-gao / mol_opt
  ☆219Updated last year
• DreamFold / FoldFlow
  FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
  ☆252Updated 9 months ago
• chao1224 / Geom3D
  Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
  ☆124Updated 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
• LarsHoldijk / SOCTransitionPaths
  ☆32Updated 3 years ago
• rssrwn / semla-flow
  Efficient 3D molecular generation with flow-matching and Semla
  ☆39Updated last month