danilonumeroso / conarLinks
Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`
☆18Updated last year
Alternatives and similar repositories for conar
Users that are interested in conar are comparing it to the libraries listed below
Sorting:
- ☆13Updated 4 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 4 months ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 3 years ago
- ☆11Updated 3 years ago
- Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024☆15Updated last year
- 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
- ☆49Updated last month
- ☆23Updated last year
- 🧮 Algebraic Positional Encodings.☆16Updated 6 months ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- ☆77Updated last year
- ☆12Updated 4 years ago
- ☆120Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated last year
- A library for subgraph GNN based on pyg☆41Updated 7 months ago
- SetToGraph paper repository☆22Updated 4 years ago
- ☆11Updated last year
- ☆25Updated 4 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆51Updated last year
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆33Updated 3 years ago
- Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)☆41Updated 2 years ago
- Prototype for a Category Theory-based GNN Library☆14Updated 3 years ago
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆25Updated last year
- G2SAT: Learning to Generate SAT Formulas☆49Updated 5 years ago
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Updated 4 years ago
- Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".☆25Updated 2 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated last year
- ☆44Updated 5 years ago