Alternatives and similar repositories for conar

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

• twitter-research / neural-sheaf-diffusion
  ☆80Updated last year
• KaroliShp / CatGNN
  Prototype for a Category Theory-based GNN Library
  ☆14Updated 3 years ago
• jctops / understanding-oversquashing
  ☆41Updated 3 years ago
• kaidic / GST
  ☆22Updated last year
• 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…
  ☆79Updated 4 years ago
• google-deepmind / digraph_transformer
  ☆122Updated last year
• april-tools / gekcs
  How to Turn Your Knowledge Graph Embeddings into Generative Models
  ☆51Updated last year
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆87Updated 3 years ago
• google-research / discs
  DISCS: The code base for the Benchmark for Discrete Sampling
  ☆59Updated 11 months ago
• ml-jku / DIffUCO
  ☆52Updated 2 months ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆15Updated last year
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated 2 years ago
• beabevi / SUN
  Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)
  ☆41Updated 2 years ago
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆157Updated last year
• twitter-research / cwn
  Message Passing Neural Networks for Simplicial and Cell Complexes
  ☆164Updated 2 years ago
• opallab / Graph-Attention-Retrospective
  ☆11Updated 3 years ago
• chendiqian / IPM_MPNN
  Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024
  ☆16Updated last year
• ralphabb / GNN-RNI
  The codebase and datasets for the IJCAI 2021 paper "The Surprising Power of Graph Neural Networks with Random Node Initialization".
  ☆22Updated 4 years ago
• shyam196 / egc
  "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022
  ☆33Updated 3 years ago
• google-research / graphworld
  ☆176Updated last year
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆89Updated last year
• toenshoff / LRGB
  ☆21Updated last year
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆85Updated 2 years ago
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 3 years ago
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 8 months ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆68Updated 2 years ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆59Updated last year
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 2 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆111Updated 2 years ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆82Updated last year