Alternatives and similar repositories for Simplicial-Attention-Networks:

Users that are interested in Simplicial-Attention-Networks are comparing it to the libraries listed below

• lrnzgiusti / can
  Official repository for Cell Attention Networks
  ☆14Updated last year
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆14Updated last year
• clabat9 / Tangent-Bundle-Neural-Networks
  Codes for the Numerical Results of the paper "Tangent Bundle Neural Networks: from Manifolds to Celullar Sheaves and Back"
  ☆11Updated 2 years ago
• ggoh29 / Simplicial-neural-network-benchmark
  Simplicial neural network benchmarking software
  ☆17Updated 2 years ago
• twitter-research / neural-sheaf-diffusion
  ☆70Updated last year
• BenGutteridge / DRew
  ☆30Updated last year
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 2 years ago
• pyt-team / challenge-icml-2024
  Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…
  ☆38Updated last month
• AdrianArnaiz / DiffWire
  DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…
  ☆19Updated 2 years ago
• YuGuangWang / PAN
  Path integral based convolution and pooling
  ☆29Updated 2 years ago
• HySonLab / Multires-Graph-Transformer
  Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures
  ☆21Updated last year
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆96Updated last year
• jw9730 / ehnn
  [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
  ☆30Updated last year
• lcosmo / DGM_pytorch
  ☆53Updated 2 years ago
• NSAPH-Projects / topological-equivariant-networks
  Code for paper E(n)-Equivariant Topological Neural Networks
  ☆30Updated 3 months ago
• FilippoMB / The-expressive-power-of-pooling-in-GNNs
  Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023
  ☆36Updated last year
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆46Updated last month
• haguettaz / ChebLieNet
  ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
  ☆17Updated 7 months ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated 9 months ago
• beabevi / SUN
  Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)
  ☆41Updated 2 years ago
• Ahmed-A-A-Elhag / GAD
  ☆9Updated 2 years ago
• toenshoff / LRGB
  ☆21Updated 11 months ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated last year
• xiongbo010 / QGCN
  PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))
  ☆17Updated 8 months ago
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆77Updated 3 years ago
• twitter-research / cwn
  Message Passing Neural Networks for Simplicial and Cell Complexes
  ☆159Updated last year
• RPaolino / fLode
  ☆18Updated last year
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆76Updated last year
• Pseudomanifold / pyper
  Python-based persistent homology algorithms
  ☆19Updated last year
• RexYing / Rex-Ying-Thesis
  Rex Ying's Ph.D. Thesis, Stanford University
  ☆43Updated 2 years ago