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.
☆17Updated last year
Alternatives and similar repositories for SALSA-CLRS:
Users that are interested in SALSA-CLRS are comparing it to the libraries listed below
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆50Updated 8 months ago
- ☆34Updated 3 months ago
- Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)☆48Updated 2 years ago
- ☆116Updated last year
- ☆10Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆76Updated last year
- ☆43Updated last month
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆17Updated last year
- Code for Neural Execution Engines: Learning to Execute Subroutines☆17Updated 4 years ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆67Updated 2 years ago
- Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)☆41Updated 2 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆84Updated 3 years ago
- Graph Positional and Structural Encoder☆46Updated 2 months ago
- Prototype for a Category Theory-based GNN Library☆14Updated 2 years ago
- ☆34Updated last year
- The Energy Transformer block, in JAX☆56Updated last year
- ☆40Updated 2 years ago
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆26Updated 5 months ago
- List of papers on NeurIPS2023☆89Updated last year
- ☆9Updated 2 years ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆55Updated 6 months ago
- ☆21Updated 11 months ago
- ☆27Updated 9 months ago
- ☆71Updated last year
- A library for subgraph GNN based on pyg☆41Updated 4 months ago
- Graphically structured diffusion model.☆20Updated last year
- We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.☆113Updated 9 months ago
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- ☆24Updated 2 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆63Updated last month