Alternatives and similar repositories for TOGL:

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

• 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…
  ☆78Updated 3 years ago
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆87Updated last year
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆81Updated 7 months ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆158Updated last year
• twitter-research / cwn
  Message Passing Neural Networks for Simplicial and Cell Complexes
  ☆160Updated last year
• c-hofer / graph_filtration_learning
  ☆20Updated 4 years ago
• tech-srl / bottleneck
  Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
  ☆94Updated 2 years ago
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆97Updated last year
• DevinKreuzer / SAN
  ☆155Updated 3 years ago
• lcosmo / DGM_pytorch
  ☆53Updated 2 years ago
• vijaydwivedi75 / gnn-lspe
  Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
  ☆253Updated 3 years ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆185Updated 10 months ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated last year
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆85Updated last year
• aidos-lab / pytorch-topological
  A topological machine learning framework based on PyTorch
  ☆167Updated 7 months ago
• SherylHYX / pytorch_geometric_signed_directed
  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…
  ☆137Updated 2 months ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆58Updated 2 years ago
• pyt-team / TopoNetX
  Computing on Topological Domains
  ☆210Updated this week
• 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
• gbouritsas / GSN
  Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…
  ☆100Updated 3 years ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆100Updated 3 years ago
• twitter-research / graph-neural-pde
  Graph Neural PDEs
  ☆331Updated 2 years ago
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆118Updated 4 years ago
• rish-16 / grafog
  Graph Data Augmentation Library for PyTorch Geometric
  ☆130Updated 2 years ago
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆67Updated 3 years ago
• Flawless1202 / VGAE_pyG
  An VGAE implementation using pytorch geometric.
  ☆45Updated 4 years ago
• chrsmrrs / tudataset
  ☆94Updated 2 years ago
• mengliu1998 / awesome-expressive-gnn
  A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
  ☆126Updated last year
• ggoh29 / Simplicial-neural-network-benchmark
  Simplicial neural network benchmarking software
  ☆17Updated 2 years ago
• tsitsvero / hodgelaplacians
  Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks
  ☆28Updated last year