Alternatives and similar repositories for clrs:

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

• Yujun-Yan / Neural-Execution-Engines
  Code for Neural Execution Engines: Learning to Execute Subroutines
  ☆17Updated 4 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆36Updated last year
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• luis-mueller / wl-transformers
  Code for our ICML 2024 paper "Aligning Transformers with Weisfeiler-Leman"
  ☆10Updated 9 months ago
• SubsetSelection / EquiVSet
  NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle
  ☆19Updated 2 years ago
• bergen / EdgeTransformer
  ☆22Updated 3 years ago
• GFNOrg / GFN_vs_HVI
  ☆9Updated 2 years ago
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆24Updated 4 years ago
• skeletondyh / GRED
  [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning
  ☆14Updated 9 months ago
• LFhase / GMT
  [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?
  ☆11Updated 8 months ago
• delta2323 / gnn-asymptotics
  Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.
  ☆30Updated 4 years ago
• beabevi / SUN
  Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)
  ☆41Updated 2 years ago
• DeepGraphLearning / SPN
  ☆29Updated 2 years ago
• FilippoMB / Total-variation-graph-neural-networks
  Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
  ☆20Updated last week
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆46Updated 2 months ago
• shyam196 / egc
  "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022
  ☆32Updated 2 years ago
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆23Updated last year
• leichen2018 / GNN-Substructure-Counting
  The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020
  ☆34Updated 4 years ago
• subgraph23 / homomorphism-expressivity
  [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
  ☆16Updated last year
• yxzwang / PhenomNN
  Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks
  ☆21Updated last year
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆77Updated 8 months ago
• snap-stanford / zeroc
  ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…
  ☆30Updated last year
• COMPiLELab / HyperND
  The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper
  ☆13Updated 2 years ago
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 3 months ago
• RexYing / Rex-Ying-Thesis
  Rex Ying's Ph.D. Thesis, Stanford University
  ☆43Updated 2 years ago
• inria-thoth / GraphiT
  Official Pytorch Implementation of GraphiT
  ☆108Updated 3 years ago
• jiahai-feng / binding-iclr
  ☆12Updated last year
• BenGutteridge / DRew
  ☆30Updated last year
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆82Updated 2 years ago
• april-tools / gekcs
  How to Turn Your Knowledge Graph Embeddings into Generative Models
  ☆50Updated 8 months ago