Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

The pathophysiology of heart failure is complex, but mitochondrial dysfunction is an emerging therapeutic target to improve cardiac function. In this Consensus Statement, insights into the ...

Understanding the underlying graph structure of a nonlinear map over a particular domain is essential in evaluating its potential for real applications. In this paper, we investigate the structure of ...

Polynomial graph filter (PGF) is an important tool for processing the irregular data captured from various complex networks, so the design of PGF is studied in this paper. First, Legendre polynomials ...

It’s the Inequality, Stupid Eleven charts that explain what’s wrong with America.

We compiled the complete list of commands you can give to Amazon's Alexa on any of your Echo devices.

ParGNN: A Scalable Graph Neural Network Training Framework on multi-GPUs ParGNN is accepted by DAC 2025. ParGNN, an efficient full-batch training system for GNNs, which adopts a profiler-guided ...