Alternatives and similar repositories for Clifford-Group-Equivariant-Simplicial-Message-Passing-Networks

Users that are interested in Clifford-Group-Equivariant-Simplicial-Message-Passing-Networks are comparing it to the libraries listed below

• SXKDZ / MARCEL
  [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles
  ☆43Updated 2 years ago
• hanjq17 / GMN
  [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
  ☆62Updated last year
• Data-reindeer / MolScaling
  Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).
  ☆14Updated last year
• divelab / MFA
  Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
  ☆18Updated 8 months ago
• chao1224 / MoleculeSDE
  A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
  ☆33Updated last year
• MinkaiXu / EGNO
  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
  ☆56Updated last year
• YuGuangWang / PAN
  Path integral based convolution and pooling
  ☆30Updated 2 years ago
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆24Updated 2 years ago
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆21Updated 2 years ago
• GLAD-RUC / ESTAG
  The source code of "Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics"
  ☆24Updated last year
• vict0rsch / faenet
  ☆33Updated 7 months ago
• yuanqing-wang / rum
  Random walk unit with memory
  ☆23Updated 11 months ago
• HICAI-ZJU / iMoLD
  Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)
  ☆21Updated last year
• BenGutteridge / DRew
  ☆31Updated last year
• toenshoff / LRGB
  ☆22Updated last year
• HyTruongSon / MGVAE
  Multiresolution Equivariant Graph Variational Autoencoder (MGVAE) https://arxiv.org/abs/2106.00967
  ☆24Updated 10 months ago
• syr-cn / SimSGT
  [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"
  ☆39Updated last year
• subgraph23 / homomorphism-expressivity
  [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
  ☆17Updated last year
• yuyangw / Denoise-Pretrain-ML-Potential
  Implementation of "Denoise Pretraining on Non-equilibrium Molecular Conformations for Accurate and Transferable Neural Potentials" in PyT…
  ☆14Updated 2 years ago
• hanjq17 / EGHN
  [NeurIPS 2022] The implementation for the paper "Equivariant Graph Hierarchy-Based Neural Networks".
  ☆30Updated last year
• GRAPH-0 / CDGS
  Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
  ☆34Updated 2 years ago
• GenSI-THUAIR / MolFM
  Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"
  ☆37Updated last year
• DanyeongLee / DiSCO
  [AAAI'24] DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization
  ☆16Updated last year
• tufts-ml / G2PT
  Graph generative pre-trained transformer
  ☆15Updated 3 months ago
• mouthful / ClofNet
  ☆23Updated last year
• nayoung10 / MOFFlow
  Implementation for MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
  ☆10Updated 3 weeks ago
• gracezhao1997 / EEGSDE
  This is the official implementation for Equivariant Enengy-guided SDE for Inverse Molecule Design (ICLR 2023)
  ☆47Updated 2 years ago
• BingSu12 / MoMu
  ☆24Updated 2 years 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
  ☆53Updated last year
• vgsatorras / en_flows
  ☆59Updated 3 years ago