Alternatives and similar repositories for SBM-Transformer

Users that are interested in SBM-Transformer are comparing it to the libraries listed below

• harryjo97 / riemannian-diffusion-mixture
  Official Code Repository for the paper "Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes" (ICML 2024).
  ☆11Updated last year
• subgraph23 / homomorphism-expressivity
  [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
  ☆17Updated last year
• hsjang0 / LED-GFN
  Learning energy decompositions for partial inference in GFlowNets
  ☆16Updated last year
• yunhuijang / GEEL
  A Simple and Scalable Representation for Graph Generation (ICLR 2024)
  ☆21Updated last year
• dbsxodud-11 / ls_gfn
  Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)
  ☆20Updated 5 months ago
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆30Updated last year
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆29Updated last year
• 1202kbs / EBCLR
  Official PyTorch implementation of "Energy-Based Contrastive Learning of Visual Representations", NeurIPS 2022 Oral Paper
  ☆11Updated 2 years ago
• ml-postech / reverse-gnn
  ☆11Updated last year
• mlvlab / CoBO
  Official PyTorch Implementation for Advancing Bayesian Optimization via Learning Correlated Latent Space (CoBO)
  ☆15Updated 3 months ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆68Updated 2 years ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• jw9730 / random-walk
  [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch
  ☆13Updated 5 months ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆85Updated 2 years ago
• maxwshen / gflownet
  ☆18Updated 2 years ago
• Junyoungpark / GNNAtoZ
  ☆38Updated 2 years ago
• skeletondyh / GRED
  [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning
  ☆15Updated last year
• sjhwang82 / GenerativeAI
  Course Website for "AI618: Generative Model and Unsupervised Learning"
  ☆37Updated 2 years ago
• sjhwang82 / DeepLearning
  Information and Materials for the Deep Learning Course
  ☆31Updated 3 years ago
• swyoon / pytorch-energy-based-model
  Simple illustrative examples for energy-based models in PyTorch
  ☆64Updated 5 years ago
• CownowAn / DiffusionNAG
  Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)
  ☆44Updated last year
• harryjo97 / RDLM
  Official Code Repository for the paper "Continuous Diffusion Model for Language Modeling".
  ☆38Updated 4 months ago
• Junyoungpark / CGS
  The official implementation of Convergent Graph Solvers (CGS)
  ☆21Updated 3 years ago
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆90Updated 4 years ago
• bbuing9 / DND
  Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)
  ☆12Updated last year
• automl / is_mamba_capable_of_icl
  ☆18Updated last year
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆24Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• saleml / continuous-gfn
  ☆26Updated 2 years ago
• igul222 / plaid
  ☆104Updated 2 years ago