Alternatives and similar repositories for homomorphism-expressivity

Users that are interested in homomorphism-expressivity are comparing it to the libraries listed below

• sc782 / SBM-Transformer
  ☆13Updated 2 years ago
• BenGutteridge / DRew
  ☆31Updated last year
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆20Updated last year
• KarolisMart / SPECTRE
  Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …
  ☆26Updated 2 years ago
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆23Updated last year
• toenshoff / LRGB
  ☆21Updated last year
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆29Updated last year
• shamim-hussain / egt_pytorch
  Edge-Augmented Graph Transformer
  ☆76Updated last year
• skeletondyh / GRED
  [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning
  ☆14Updated 11 months ago
• RexYing / Rex-Ying-Thesis
  Rex Ying's Ph.D. Thesis, Stanford University
  ☆42Updated 2 years ago
• Graph-COM / GSSC
  [Preprint] Graph State Space Convolution (GSSC)
  ☆13Updated 11 months ago
• BorgwardtLab / NeuralWalker
  Official Pytorch implementation of NeuralWalker
  ☆31Updated 11 months ago
• gbouritsas / PnC
  Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952
  ☆35Updated 3 years ago
• haotang1995 / IterGNN
  Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)
  ☆18Updated 4 years ago
• jw9730 / ehnn
  [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
  ☆30Updated 2 years ago
• hanjq17 / GMN
  [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
  ☆60Updated 10 months ago
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆24Updated 4 years ago
• lsj2408 / Graphormer-GD
  [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)
  ☆104Updated last year
• yuanqing-wang / rum
  Random walk unit with memory
  ☆20Updated 7 months ago
• Emiyalzn / GraphDE
  Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…
  ☆20Updated 2 years ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆67Updated 2 years ago
• lenscloth / GRPE
  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"
  ☆57Updated 2 years ago
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 5 months ago
• uoguelph-mlrg / GGM-metrics
  Official repository for the paper "On Evaluation Metrics for Graph Generative Models"
  ☆25Updated 3 years ago
• congliuUvA / Clifford-Group-Equivariant-Simplicial-Message-Passing-Networks
  The implementation of the paper: Clifford Group Equivariant Simplicial Message Passing Networks @ ICLR2024
  ☆10Updated 11 months ago
• jctops / understanding-oversquashing
  ☆40Updated 2 years ago
• HyTruongSon / InvariantGraphNetworks-PyTorch
  A PyTorch implementation of The ICLR 2019 paper "Invariant and Equivariant Graph Networks" by Haggai Maron, Heli Ben-Hamu, Nadav Shamir a…
  ☆15Updated 3 years ago
• Data-reindeer / MolScaling
  Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).
  ☆14Updated last year
• divelab / MFA
  Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
  ☆17Updated 4 months ago
• Graph-COM / Pair-Align
  [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)
  ☆12Updated 11 months ago