(A) A schematic that describes the module flow of the proposed RST2G. (B) Overall architecture of the proposed RST2G. (C) Detailed structure of DownBlocks. (D) Detailed structure of VitBlocks. (E) ...

I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those experiences to help students improve in math through practical applications and tips.

Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...

Quantitative genetics has developed to a point at which its classical theory should be upgraded to cope with the surge of sequencing data. We propose a graph statistical theory that defines genetic ...

Abstract: Graph neural networks (GNNs) have demonstrated outstanding performance in graph classification tasks. Most existing GNNs designed for graph classification adopt a structure that combines ...

GDF-MIL (Graph-Driven Fusion Multiple Instance Learning) is a novel graph-driven multi-instance learning framework that adaptively balances topology modeling and semantic feature preservation through ...