Abstract: Learning the gene coexpression pattern is a central challenge for high-dimensional gene expression analysis. Recently, sparse singular value decomposition (SVD) has been used to achieve this ...

Abstract: Graph embedding learns low-dimensional representations for nodes or edges on the graph, which is widely applied in many real-world applications. Excessive graph mining promotes the research ...

VRPG is a web-based interactive Visualization and interpretation framework for linear-Reference-projected Pangenome Graphs. VRPG provides efficient and intuitive supports for exploring and annotating ...

To build a sound NFL roster through the draft is all about value—getting a game-changer at a discount, or at least not overpaying for a guy who’ll barely make the two-deep. But every single year, a ...

Canadian value stocks have been on a roll in recent months after sagging when interest rates shot up in 2022. The rebound helped the Screaming Value portfolio jump 84 per cent from the end of ...

For many businesses, compliance functions are frequently perceived as a cost center—an unavoidable expense that doesn't directly correlate to revenue growth. In some organizations, compliance teams ...

This is the implementation of the Graph Attention Structure-from-Motion (GASFM) architecture, presented in our CVPR 2024 paper Learning Structure-from-Motion with Graph Attention Networks. The ...