2 papers
cs.LG2026
From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context
Peyman Baghershahi, Gregoire Fournier, Pranav Nyati +1
Graph Neural Networks (GNNs) have emerged as powerful tools for learning over structured data, including text-attributed graphs (TAGs), which are common in domains such as citation…
cs.CC2026
Universal Solvability for Robot Motion Planning on Graphs
Anubhav Dhar, Pranav Nyati, Tanishq Prasad +2
We study the Universal Solvability of Robot Motion Planning on Graphs (USolR) problem: given an undirected graph and robots, determine whether any arbitrary config…