Alternatives and similar repositories for GMN

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

• DeepGraphLearning / ConfGF
  Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).
  ☆169Updated 3 years ago
• mouthful / ClofNet
  ☆23Updated last year
• GenSI-THUAIR / MolFM
  Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"
  ☆37Updated last year
• gracezhao1997 / EEGSDE
  This is the official implementation for Equivariant Enengy-guided SDE for Inverse Molecule Design (ICLR 2023)
  ☆47Updated last year
• hanjq17 / EGHN
  [NeurIPS 2022] The implementation for the paper "Equivariant Graph Hierarchy-Based Neural Networks".
  ☆30Updated last year
• yuanqidu / LeftNet
  ☆59Updated 8 months ago
• shehzaidi / pre-training-via-denoising
  Official implementation of pre-training via denoising for TorchMD-NET
  ☆96Updated 2 years ago
• cvignac / MiDi
  MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
  ☆107Updated 11 months ago
• Shen-Lab / LDM-3DG
  [ICLR 2024] "Latent 3D Graph Diffusion" by Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen
  ☆52Updated last year
• vict0rsch / faenet
  ☆33Updated 6 months ago
• DeepGraphLearning / GraphAF
  ☆56Updated 4 years ago
• GRAPH-0 / JODO
  Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation
  ☆50Updated last year
• RobDHess / Steerable-E3-GNN
  E(3) Steerable Graph Neural Network
  ☆122Updated 2 years ago
• igashov / RetroBridge
  RetroBridge: Markov Bridge Model for Retrosynthesis Planning
  ☆31Updated last year
• chao1224 / MoleculeSDE
  A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
  ☆33Updated last year
• chao1224 / GeoSSL
  GeoSSL: Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching, ICLR'23 (https://openreview.net/forum?id=CjTHVo1…
  ☆47Updated 2 years ago
• MinkaiXu / EGNO
  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
  ☆56Updated last year
• MinkaiXu / CGCF-ConfGen
  Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)
  ☆46Updated 4 years ago
• AzureLeon1 / awesome-molecular-diffusion-models
  A curated list of papers related to molecular diffusion models.
  ☆56Updated 2 months ago
• divelab / GraphBP
  Official implementation of "Generating 3D Molecules for Target Protein Binding" [ICML2022 Long Presentation]
  ☆108Updated 2 years ago
• shenoynikhil / ETFlow
  Source code for Equivariant Flow Matching for Molecular Conformer Generation
  ☆43Updated last month
• calvin-zcx / moflow
  MoFlow: an invertible flow model for generating molecular graphs
  ☆143Updated 2 years ago
• qiangbo1222 / HierDiff
  Implementation of ICML2023 paper : Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
  ☆48Updated 2 years ago
• smiles724 / Molformer
  ☆96Updated 2 months ago
• atomicarchitects / equiformer
  [ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
  ☆248Updated 6 months ago
• vgsatorras / en_flows
  ☆59Updated 3 years ago
• SXKDZ / MARCEL
  [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles
  ☆43Updated 2 years ago
• GLAD-RUC / FastEGNN
  Source code of "Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning"
  ☆25Updated 2 months ago
• keiradams / ChIRo
  Public Implementation of ChIRo from "Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations"
  ☆54Updated 3 years ago
• chao1224 / Geom3D
  Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
  ☆124Updated last year