1 code implementation • 30 Oct 2022 • Kuba Weimann, Tim O. F. Conrad
In this paper, we present FELRec, a large embedding network that refines the existing representations of users and items in a recursive manner, as new information becomes available.
1 code implementation • 2 Mar 2022 • Kateryna Melnyk, Kuba Weimann, Tim O. F. Conrad
Through our experiments, we show that we can extract graph features such as clusters of nodes or edges that have the highest impact on the model to learn the low-dimensional representation.