Alternatives and similar repositories for IGNR

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

• iamalexkorotin / KernelNeuralOptimalTransport
  PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
  ☆27Updated 2 years ago
• gnobitab / ConstrainedDiffusionBridge
  ☆14Updated 2 years ago
• kilianhae / discrete_DPPM_Graphs
  Diffusion Models for Graphs Benefit From Discrete State Spaces
  ☆33Updated 2 years ago
• HongtengXu / SGWB-Graphon
  Learning Graphons via Structured Gromov-Wasserstein Barycenters
  ☆23Updated 4 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆39Updated last year
• youjibiying / GTOT-Tuning
  Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"
  ☆24Updated 3 years ago
• qym7 / SparseDiff
  Official implementation for 'Sparse denoising diffusion for large graph generation'
  ☆69Updated 3 months ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆83Updated last year
• vdeborto / cdsb
  ☆24Updated 3 years ago
• jw9730 / ehnn
  [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
  ☆30Updated 2 years ago
• jw9730 / random-walk
  [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch
  ☆16Updated 8 months ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆37Updated 2 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆70Updated 2 years ago
• khainb / EBSW
  Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance
  ☆19Updated 8 months ago
• BorgwardtLab / fisher_information_embedding
  Official code for Fisher information embedding for node and graph learning (ICML 2023)
  ☆19Updated 2 years ago
• WanyuGroup / CVPR2022-OrphicX
  Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…
  ☆35Updated 3 years ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆68Updated 2 years ago
• BorgwardtLab / NeuralWalker
  Official Pytorch implementation of NeuralWalker (ICLR 2025)
  ☆36Updated 4 months ago
• PKU-ML / ContraNorm
  Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
  ☆35Updated 2 years ago
• RPaolino / loopy
  ☆11Updated last year
• Genentech / GraphGUIDE
  ☆12Updated 2 years ago
• ganmodokix / gwae
  PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)
  ☆44Updated 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
• stepelu / idbm-pytorch
  ☆13Updated 2 years ago
• CSDUlm / wsingular
  Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".
  ☆10Updated last year
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆40Updated last year
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆27Updated 2 years ago
• AngelosNal / PyTorch-Gumbel-Sigmoid
  Implementation of the Gumbel-Sigmoid distribution in PyTorch.
  ☆21Updated 3 years ago
• ggoh29 / Simplicial-neural-network-benchmark
  Simplicial neural network benchmarking software
  ☆17Updated 3 years ago
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 4 years ago