Alternatives and similar repositories for HEPT

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

• perrying / gumbel-sinkhorn
  PyTorch implementation of LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS
  ☆31Updated 5 years ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆68Updated 3 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆114Updated 2 years 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
• SubsetSelection / EquiVSet
  NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle
  ☆21Updated 2 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆37Updated 2 years ago
• YuGuangWang / PAN
  Path integral based convolution and pooling
  ☆30Updated 2 years ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 3 years ago
• jctops / understanding-oversquashing
  ☆42Updated 3 years ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆26Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• guoji-fu / pGNNs
  [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks
  ☆27Updated 3 months ago
• vdeborto / cdsb
  ☆24Updated 3 years ago
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 4 years ago
• Felix-Petersen / difftopk
  Differentiable Top-k Classification Learning
  ☆88Updated 2 years ago
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆40Updated last year
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆30Updated last year
• hadarser / SetToGraphPaper
  SetToGraph paper repository
  ☆22Updated 5 years ago
• toenshoff / LRGB
  ☆23Updated last year
• 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
• subgraph23 / homomorphism-expressivity
  [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
  ☆17Updated last year
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆117Updated 4 years ago
• chenweize1998 / fully-hyperbolic-nn
  Code for paper Fully Hyperbolic Neural Networks
  ☆84Updated 2 years ago
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 4 years ago
• YiteWang / NTK-SAP
  [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics
  ☆20Updated 2 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆55Updated 2 years ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆160Updated 2 years ago
• TNAS-DCS / TNAS-DCS
  ☆13Updated 3 years ago
• GFNOrg / gfn-diffusion
  ☆35Updated 8 months ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆85Updated 2 years ago