3 papers
cs.CE2025
Transaction Categorization with Relational Deep Learning in QuickBooks
Kaiwen Dong, Padmaja Jonnalagedda, Xiang Gao +5
Automatic transaction categorization is crucial for enhancing the customer experience in QuickBooks by providing accurate accounting and bookkeeping. The distinct challenges in thi…
cs.CV2020
Learning Furniture Compatibility with Graph Neural Networks
Luisa F. Polania, Mauricio Flores, Yiran Li +1
We propose a graph neural network (GNN) approach to the problem of predicting the stylistic compatibility of a set of furniture items from images. While most existing results are b…
math.NA2019
Analysis and algorithms for -based semi-supervised learning on graphs
Mauricio Flores, Jeff Calder, Gilad Lerman
This paper addresses theory and applications of -based Laplacian regularization in semi-supervised learning. The graph -Laplacian for has been proposed recently as…