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
  ☆220Updated 2 years ago
• harryjo97 / GDSS
  Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…
  ☆182Updated 2 years ago
• yuanqidu / awesome-graph-generation
  ☆356Updated 11 months ago
• vgsatorras / egnn
  ☆515Updated 3 years ago
• tufts-ml / graph-generation-EDGE
  EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
  ☆65Updated 6 months ago
• ehoogeboom / e3_diffusion_for_molecules
  ☆541Updated 3 years ago
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆102Updated 2 years ago
• GRAPH-0 / GraphGDP
  Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation
  ☆31Updated 3 years ago
• MinkaiXu / GeoDiff
  Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
  ☆393Updated 2 years ago
• leffff / graphormer-pyg
  Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric
  ☆161Updated last month
• manuelmlmadeira / DeFoG
  Official implementation of the paper: "DeFoG: Discrete Flow Matching for Graph Generation"
  ☆44Updated last month
• lucidrains / egnn-pytorch
  Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
  ☆513Updated last year
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆129Updated 3 months ago
• ltz0120 / Fast_Graph_Generation_via_Spectral_Diffusion
  ☆21Updated last year
• caio-freitas / GraphARM
  An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]
  ☆39Updated 11 months ago
• azminewasi / Awesome-Graph-Research-ICML2024
  All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
  ☆231Updated last year
• harryjo97 / GruM
  Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).
  ☆36Updated last year
• qym7 / SparseDiff
  Official implementation for 'Sparse denoising diffusion for large graph generation'
  ☆70Updated 3 months ago
• zhejiangzhuque / Diffusion-based-Graph-Generative-Methods
  The survey on diffusion-based graph genrative methods
  ☆20Updated 11 months ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆115Updated 2 years ago
• rampasek / GraphGPS
  Recipe for a General, Powerful, Scalable Graph Transformer
  ☆807Updated last year
• hsjang0 / DPM-SNC
  ☆36Updated last year
• zhouc20 / LatentGraphDiffusion
  Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
  ☆40Updated 11 months ago
• lsj2408 / Graphormer-GD
  [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)
  ☆105Updated 2 years ago
• DongqiFu / VCR-Graphormer
  VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024
  ☆14Updated last year
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆161Updated 2 years ago
• MinkaiXu / GeoLDM
  Geometric Latent Diffusion Models for 3D Molecule Generation
  ☆265Updated 2 years ago
• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆84Updated last year
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆85Updated last year
• jrwnter / pigvae
  Implementation of the Paper "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning" by Robin Winter, Fran…
  ☆44Updated 2 years ago