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

• divelab / MFA
  Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
  ☆17Updated 4 months ago
• hanjq17 / GMN
  [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
  ☆61Updated 11 months ago
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆20Updated last year
• chao1224 / MoleculeSDE
  A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
  ☆31Updated last year
• MinkaiXu / EGNO
  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
  ☆56Updated last year
• vict0rsch / faenet
  ☆34Updated 3 months ago
• gracezhao1997 / EEGSDE
  This is the official implementation for Equivariant Enengy-guided SDE for Inverse Molecule Design (ICLR 2023)
  ☆47Updated last year
• BenGutteridge / DRew
  ☆31Updated last year
• GLAD-RUC / ESTAG
  The source code of "Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics"
  ☆24Updated 10 months ago
• shenoynikhil / ETFlow
  Source code for Equivariant Flow Matching for Molecular Conformer Generation
  ☆33Updated 3 weeks ago
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆49Updated 2 months ago
• yuanqing-wang / rum
  Random walk unit with memory
  ☆21Updated 8 months ago
• subgraph23 / homomorphism-expressivity
  [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
  ☆16Updated last year
• mouthful / ClofNet
  ☆23Updated last year
• Ahmed-A-A-Elhag / GAD
  ☆9Updated 3 years ago
• qym7 / SparseDiff
  Official implementation for 'Sparse denoising diffusion for large graph generation'
  ☆59Updated last year
• YuGuangWang / PAN
  Path integral based convolution and pooling
  ☆30Updated 2 years ago
• toenshoff / LRGB
  ☆21Updated 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
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆25Updated last year
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆53Updated last month
• AlgoMole / MolFM
  Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"
  ☆36Updated last year
• SXKDZ / MARCEL
  [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles
  ☆42Updated last year
• 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
  ☆50Updated 11 months ago
• hanjq17 / EGHN
  [NeurIPS 2022] The implementation for the paper "Equivariant Graph Hierarchy-Based Neural Networks".
  ☆30Updated last year
• Zun-Wang / QuinNet
  (NeurIPS 2023) QuinNet: Efficiently Incorporating Quintuple Interactions into Geometric Deep Learning Force Fields
  ☆10Updated 10 months ago
• ai4sci-research / ai4sci-research.github.io
  ☆17Updated last year
• GLAD-RUC / FastEGNN
  Source code of "Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning"
  ☆25Updated 3 weeks ago
• HICAI-ZJU / iMoLD
  Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)
  ☆21Updated last year
• jw9730 / ehnn
  [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
  ☆30Updated 2 years ago