17 citations · 17 across the 4 of their papers we have counts for
4 papers
Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks
Sunil Kumar Maurya, Xin Liu
With the rapidly improving reasoning abilities of Large Language Models (LLMs), there is also a rising demand to use them in a wide variety of domains. This brings about the need t…
Degree-Mass Message Passing for Betweenness Ranking in Directed and Undirected Networks
Justin Dachille, Aurora Rossi, Sunil Kumar Maurya +5
Computing the importance of nodes in networks is a long-standing fundamental problem that has driven extensive study of various centrality measures. A particularly well-known centr…
Simplifying approach to Node Classification in Graph Neural Networks
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Graph Neural Networks have become one of the indispensable tools to learn from graph-structured data, and their usefulness has been shown in wide variety of tasks. In recent years,…
Improving Graph Neural Networks with Simple Architecture Design
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Graph Neural Networks have emerged as a useful tool to learn on the data by applying additional constraints based on the graph structure. These graphs are often created with assume…