Alternatives and similar repositories for DiGress:

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

• ChengyiLIU-cs / Generative-Diffusion-Models-on-Graphs
  ☆199Updated last year
• harryjo97 / GDSS
  Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…
  ☆169Updated last year
• yuanqidu / awesome-graph-generation
  ☆335Updated 4 months ago
• vgsatorras / egnn
  ☆475Updated 3 years ago
• ehoogeboom / e3_diffusion_for_molecules
  ☆494Updated 2 years ago
• MinkaiXu / GeoDiff
  Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
  ☆356Updated last year
• lucidrains / egnn-pytorch
  Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
  ☆465Updated 5 months ago
• rampasek / GraphGPS
  Recipe for a General, Powerful, Scalable Graph Transformer
  ☆731Updated 10 months ago
• MinkaiXu / GeoLDM
  Geometric Latent Diffusion Models for 3D Molecule Generation
  ☆248Updated last year
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆110Updated last year
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆97Updated last year
• cvignac / MiDi
  MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
  ☆101Updated 7 months ago
• deepfindr / gvae
  ☆96Updated 2 years ago
• qym7 / SparseDiff
  Official implementation for 'Sparse denoising diffusion for large graph generation'
  ☆58Updated 11 months ago
• tufts-ml / graph-generation-EDGE
  EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
  ☆55Updated last year
• azminewasi / Awesome-Graph-Research-ICML2024
  All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
  ☆204Updated 5 months ago
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆120Updated 4 months ago
• jw9730 / tokengt
  [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
  ☆334Updated 2 years ago
• DevinKreuzer / SAN
  ☆156Updated 3 years ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆158Updated last year
• chaitjo / geometric-gnn-dojo
  Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …
  ☆499Updated 11 months ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆348Updated 2 years ago
• THUDM / GraphMAE
  GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
  ☆512Updated 2 years ago
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆81Updated 6 months ago
• atomicarchitects / equiformer
  [ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
  ☆233Updated 2 months ago
• yuyangw / MolCLR
  Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.
  ☆277Updated last year
• caio-freitas / GraphARM
  An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]
  ☆34Updated 3 months ago
• lsj2408 / Graphormer-GD
  [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)
  ☆104Updated last year
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆89Updated last year
• lucidrains / graph-transformer-pytorch
  Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2
  ☆219Updated last year