no code implementations • 15 Apr 2020 • Luisa F. Polania, Mauricio Flores, Yiran Li, Matthew Nokleby
We present two GNN models, both of which comprise a deep CNN that extracts a feature representation for each image, a gated recurrent unit (GRU) network that models interactions between the furniture items in a set, and an aggregation function that calculates the compatibility score.
no code implementations • 15 Jan 2019 • Mauricio Flores, Jeff Calder, Gilad Lerman
In the first part of the paper we prove new discrete to continuum convergence results for $p$-Laplace problems on $k$-nearest neighbor ($k$-NN) graphs, which are more commonly used in practice than random geometric graphs.