Abstract: Graph Contrastive Learning (GCL) has emerged as the foremost approach for self-supervised learning on graph-structured data. GCL reduces reliance on labeled data by learning robust ...

Abstract: Recent graph signal processing (GSP)-based collaborative filtering (CF) methods have demonstrated superior performance. However, these methods tend to overemphasize low-frequency signals in ...

Synchronous regulated biological networks are often represented as logical diagrams, where the precise interactions between elements remain obscured. Here, we introduce a novel type of ...

Steven S. Kaufman Family Anatomy of a Trial Lecture Series In this second installment of the Steven S. Kaufman Family Anatomy of a Trial Lecture Series, litigator John K. Villa—described by The ...