3 datasets found

This paper introduces Graph Reasoning Spiking Neural Networks (GRSNN) for efficient graph reasoning, leveraging the temporal domain and synaptic delay.

The dataset used in the GraphLLM paper, which consists of four fundamental graph reasoning tasks: substructure counting, maximum triplet sum, shortest path, and bipartite graph...

GraphEval2000 is a graph dataset designed to evaluate the graph reasoning abilities of large language models (LLMs) through coding challenges.