Alternatives and similar repositories for conar:

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

• chendiqian / IPM_MPNN
  Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024
  ☆12Updated last year
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 3 months ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆14Updated last year
• FilippoMB / Total-variation-graph-neural-networks
  Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
  ☆20Updated last year
• opallab / Graph-Attention-Retrospective
  ☆11Updated 3 years ago
• twitter-research / neural-sheaf-diffusion
  ☆69Updated last year
• ml-jku / VAG-CO
  ☆11Updated last year
• KaroliShp / CatGNN
  Prototype for a Category Theory-based GNN Library
  ☆14Updated 2 years ago
• shyam196 / egc
  "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022
  ☆32Updated 2 years ago
• COMPiLELab / HyperND
  The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper
  ☆13Updated 2 years ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆46Updated last month
• RPaolino / fLode
  ☆18Updated last year
• april-tools / gekcs
  How to Turn Your Knowledge Graph Embeddings into Generative Models
  ☆50Updated 8 months ago
• jkminder / SALSA-CLRS
  Implementation of "SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning". SALSA-CLRS is an extension to the original clr…
  ☆16Updated last year
• kaidic / GST
  ☆23Updated last year
• beabevi / SUN
  Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)
  ☆41Updated 2 years ago
• ml-jku / DIffUCO
  ☆43Updated 2 weeks ago
• diningphil / continual_learning_for_graphs
  ☆13Updated 4 years ago
• HekpoMaH / algorithmic-concepts-reasoning
  ☆25Updated 3 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆35Updated 4 years ago
• toenshoff / LRGB
  ☆21Updated 11 months ago
• cvignac / SMP
  ☆26Updated 3 years ago
• Graph-COM / CO_ProxyDesign
  The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
  ☆15Updated 2 years ago
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆20Updated 10 months ago
• radoslav11 / SP-MPNN
  Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".
  ☆24Updated 2 years ago
• yxzwang / PhenomNN
  Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks
  ☆21Updated last year
• nkeriven / random-graph-gnn
  ☆12Updated 3 years 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…
  ☆76Updated 3 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated last year
• jctops / understanding-oversquashing
  ☆40Updated 2 years ago