KaroliShp / CatGNNLinks
Prototype for a Category Theory-based GNN Library
☆14Updated 3 years ago
Alternatives and similar repositories for CatGNN
Users that are interested in CatGNN are comparing it to the libraries listed below
Sorting:
- Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)☆41Updated 2 years ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆18Updated last year
- ☆77Updated last year
- Message Passing Neural Networks for Simplicial and Cell Complexes☆164Updated 2 years ago
- ☆120Updated last year
- Sheaves library for graph abstractions based on NetworkX☆15Updated 6 years ago
- Graph Positional and Structural Encoder☆52Updated 5 months ago
- Representation Learning on Topological Domains☆81Updated this week
- Graph Data Augmentation Library for PyTorch Geometric☆132Updated 2 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆80Updated 4 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- ☆13Updated 4 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆126Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- ☆175Updated last year
- Code for our paper "Attending to Graph Transformers"☆89Updated last year
- This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…☆29Updated last month
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆51Updated last year
- 🧮 Algebraic Positional Encodings.☆16Updated 6 months ago
- Taxonomy of Benchmarks in Graph Representation Learning☆19Updated 2 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆68Updated 2 years ago
- ☆174Updated last year
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- ☆40Updated 3 years ago
- Exphormer: Sparse Transformer for Graphs☆183Updated last year
- Differentiable Euler Characteristic Transform☆17Updated last year
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆25Updated last year