Alternatives and similar repositories for simplicial_neural_networks:

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

• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆86Updated last year
• twitter-research / cwn
  Message Passing Neural Networks for Simplicial and Cell Complexes
  ☆158Updated last year
• BorgwardtLab / TOGL
  Topological Graph Neural Networks (ICLR 2022)
  ☆122Updated 2 years ago
• twitter-research / neural-sheaf-diffusion
  ☆69Updated last year
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 2 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆35Updated 4 years ago
• jctops / understanding-oversquashing
  ☆40Updated 2 years ago
• pyt-team / TopoEmbedX
  Representation Learning on Topological Domains
  ☆79Updated this week
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated last year
• beabevi / SUN
  Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)
  ☆41Updated 2 years ago
• tsitsvero / hodgelaplacians
  Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks
  ☆27Updated last year
• twitter-research / graph-neural-pde
  Graph Neural PDEs
  ☆326Updated 2 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆110Updated last year
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆96Updated last year
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆24Updated 4 years ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆157Updated last year
• topnn / topnn_framework
  ☆32Updated 4 years ago
• crisbodnar / dgm
  Deep Graph Mapper: Seeing Graphs through the Neural Lens
  ☆56Updated last year
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆75Updated last year
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆55Updated 2 years ago
• tech-srl / bottleneck
  Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
  ☆94Updated 2 years ago
• hadarser / SetToGraphPaper
  SetToGraph paper repository
  ☆21Updated 4 years ago
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 3 months ago
• uoguelph-mlrg / GGM-metrics
  Official repository for the paper "On Evaluation Metrics for Graph Generative Models"
  ☆25Updated 3 years ago
• geomstats / challenge-iclr-2022
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆52Updated 2 years ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆86Updated last year
• ggoh29 / Simplicial-neural-network-benchmark
  Simplicial neural network benchmarking software
  ☆17Updated 2 years ago
• aidos-lab / pytorch-topological
  A topological machine learning framework based on PyTorch
  ☆163Updated 6 months ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆14Updated last year
• FilippoMB / The-expressive-power-of-pooling-in-GNNs
  Code and dataset to test empirically the expressive power of graph pooling operators.
  ☆35Updated last year