7 citations · 17 across the 5 of their papers we have counts for
5 papers
Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval
Abdellah Ghassel, Ian Robinson, Gabriel Tanase +6
Retrieval-Augmented Generation (RAG) grounds large language models in external evidence, yet it still falters when answers must be pieced together across semantically distant docum…
Attainment Ratings for Graph-Query Recommendation
Hal Cooper, Garud Iyengar, Ching-Yung Lin
The video game industry is larger than both the film and music industries combined. Recommender systems for video games have received relatively scant academic attention, despite t…
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
Scott W. Linderman, Gonzalo E. Mena, Hal Cooper +2
Many matching, tracking, sorting, and ranking problems require probabilistic reasoning about possible permutations, a set that grows factorially with dimension. Combinatorial optim…
Learning Graph Topological Features via GAN
Weiyi Liu, Hal Cooper, Min Hwan Oh +4
Inspired by the generation power of generative adversarial networks (GANs) in image domains, we introduce a novel hierarchical architecture for learning characteristic topological…
Can GAN Learn Topological Features of a Graph?
Weiyi Liu, Pin-Yu Chen, Hal Cooper +3
This paper is first-line research expanding GANs into graph topology analysis. By leveraging the hierarchical connectivity structure of a graph, we have demonstrated that generativ…