jkminder / SALSA-CLRS
Implementation of "SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning". SALSA-CLRS is an extension to the original clrs package, prioritizing scalability and the utilization of sparse representations. It provides pytorch based PyG datasets and dataloaders.
☆16Updated last year
Alternatives and similar repositories for SALSA-CLRS:
Users that are interested in SALSA-CLRS are comparing it to the libraries listed below
- ☆34Updated last month
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆50Updated 6 months ago
- Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)☆41Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆75Updated last year
- ☆116Updated last year
- ☆68Updated last year
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆63Updated 2 years ago
- ☆34Updated 2 months ago
- ☆23Updated last year
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆77Updated 6 months ago
- List of papers on NeurIPS2023☆88Updated last year
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆17Updated last year
- Measuring generalization properties of graph neural networks☆15Updated last year
- The Energy Transformer block, in JAX☆54Updated last year
- Code for our paper "Attending to Graph Transformers"☆84Updated last year
- ☆21Updated 9 months ago
- DISCS: The code base for the Benchmark for Discrete Sampling☆50Updated 5 months ago
- ☆40Updated 2 years ago
- Prototype for a Category Theory-based GNN Library☆14Updated 2 years ago
- Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)☆47Updated 2 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆82Updated 2 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆81Updated last year
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆76Updated 3 years ago
- ☆24Updated last week
- Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024☆12Updated last year
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆14Updated last year
- Graph Self-Supervised Learning Toolkit☆17Updated 3 weeks ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆155Updated last year
- A library for subgraph GNN based on pyg☆41Updated 2 months ago
- Graph Positional and Structural Encoder☆44Updated last week