Abstract: Recently, self-supervised learning has shown great potential in Graph Neural Networks (GNNs) through contrastive learning, which aims to learn discriminative features for each node without ...

This repository is the implementation of the following paper: Theoretical Insights into Line Graph Transformation on Graph Learning. This project is built on the BREC dataset which includes 400 pairs ...

Ryan Haumschild, PharmD, MS, MBA, introduces the faculty and sets the agenda to explore disease background, novel therapies, and operational considerations in relapsed/refractory multiple myeloma.

Abstract: With the development of biotechnology, a large amount of multi-omics data have been collected for precision medicine. There exists multiple graph-based prior biological knowledge about omics ...