Alternatives and similar repositories for Graph-DiT

Users that are interested in Graph-DiT are comparing it to the libraries listed below

• pengxingang / MolDiff
  MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
  ☆64Updated last year
• junxia97 / Mole-BERT
  [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"
  ☆123Updated 2 years ago
• GLAD-RUC / GGNN4Science
  ☆129Updated last month
• GRAPH-0 / JODO
  Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation
  ☆49Updated last year
• chao1224 / Geom3D
  Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
  ☆122Updated last year
• MinkaiXu / AliDiff
  NeurIPS24: Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
  ☆38Updated 4 months ago
• AlgoMole / GeoBFN
  Implementation for ICLR2024 Oral paper "Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks"
  ☆54Updated last year
• shehzaidi / pre-training-via-denoising
  Official implementation of pre-training via denoising for TorchMD-NET
  ☆96Updated 2 years ago
• AlgoMole / MolFM
  Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"
  ☆37Updated 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
• yuanqidu / LeftNet
  ☆58Updated 7 months ago
• zaixizhang / Awesome-SBDD
  Papers about Structure-based Drug Design (SBDD)
  ☆119Updated 7 months ago
• jiaor17 / 3D-EMGP
  [AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"
  ☆34Updated 10 months ago
• chao1224 / MoleculeSDE
  A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
  ☆33Updated last year
• qiangbo1222 / HierDiff
  Implementation of ICML2023 paper : Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
  ☆48Updated 2 years ago
• SeulLee05 / MOOD
  Official code repository for the paper Exploring Chemical Space with Score-based Out-of-distribution Generation (ICML 2023)
  ☆39Updated last year
• shamim-hussain / tgt
  Triplet Graph Transformer
  ☆47Updated last year
• AlgoMole / MolCRAFT
  Official repository for MolCRAFT series
  ☆107Updated 3 weeks ago
• GLAD-RUC / FastEGNN
  Source code of "Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning"
  ☆25Updated last month
• AlexDuvalinho / geometric-gnns
  List of Geometric GNNs for 3D atomic systems
  ☆114Updated last year
• ZangXuan / HiMol
  ☆25Updated 2 years ago
• guanjq / targetdiff
  The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
  ☆282Updated last year
• Vencent-Won / SGGRL
  The implementation of the paper "Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry".
  ☆43Updated 7 months ago
• gracezhao1997 / EEGSDE
  This is the official implementation for Equivariant Enengy-guided SDE for Inverse Molecule Design (ICLR 2023)
  ☆48Updated last year
• YangLing0818 / IPDiff
  [ICLR 2024] Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
  ☆48Updated 11 months ago
• c-tl / GeoMFormer
  ☆17Updated last year
• Deno-V / tgm-dlm
  Code for AAAI24 paper Text-Guided Molecule Generation with Diffusion Language Model
  ☆19Updated last month
• Rich-XGK / GTMGC
  Implementation of GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation (ICLR2024 Spotlight).
  ☆17Updated last year
• tencent-ailab / MDM
  MDM
  ☆55Updated last year
• MinkaiXu / GeoLDM
  Geometric Latent Diffusion Models for 3D Molecule Generation
  ☆254Updated 2 years ago