Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

Text mining and knowledge graphs connect cell-culture parameters to glycosylation for faster bioprocess optimization.

Discover how the New York Giants are enhancing their coaching with new assistant Grant Newsome, focusing on offensive line development.

This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...

Abstract: While many methods exist for building latent embeddings of knowledge graphs for the task of knowledge graph completion, these methods fail to generate meaningful semantic representations of ...

A graph is regular if every vertex is of the same degree. Otherwise, it is an irregular graph. Although there is a vast literature devoted to regular graphs, only a few papers approach the irregular ...

Many symptoms of hypertrophic cardiomyopathy (HCM) are mild, particularly in the early stages of the disease, so they may be easy to dismiss. Symptoms such as shortness of breath during exercise, ...

Abstract: High-dimensional and incomplete (HDI) data are frequently encountered in diverse real-world applications involving complex interactions among numerous nodes. Approaches based on latent ...