jkminder / SALSA-CLRSLinks
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.
☆20Updated last year
Alternatives and similar repositories for SALSA-CLRS
Users that are interested in SALSA-CLRS are comparing it to the libraries listed below
Sorting:
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆53Updated last year
- ☆59Updated last month
- ☆32Updated 7 months ago
- ☆121Updated 2 years ago
- ☆34Updated 11 months ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- ☆185Updated last year
- ☆66Updated 7 months ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆20Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆92Updated 3 years ago
- This repository contains code for the paper "Learning Decision Trees as Amortized Structure Inference"☆15Updated 7 months ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆83Updated last year
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆79Updated 3 years ago
- Evaluation of neuro-symbolic engines☆39Updated last year
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆29Updated last year
- A domain-specific probabilistic programming language for modeling and inference with language models☆137Updated 6 months ago
- The Energy Transformer block, in JAX☆61Updated last year
- ☆36Updated 10 months ago
- ☆11Updated 6 months ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆163Updated last year
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆19Updated 11 months ago
- Discovering Data-driven Hypotheses in the Wild☆117Updated 5 months ago
- We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.☆132Updated last year
- Measuring generalization properties of graph neural networks☆15Updated 3 months ago
- Latent Program Network (from the "Searching Latent Program Spaces" paper)☆103Updated last month
- [ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models☆81Updated 3 months ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Learning Universal Predictors☆81Updated last year
- ☆23Updated 6 months ago
- ☆10Updated last year