Abstract: We consider the problem of learning a graph from a finite set of noisy graph signal observations, the goal of which is to find a smooth representation of the graph signal. Such a problem is ...

Abstract: Learning the structure of Bayesian networks (BNs) from high dimensional discrete data is common nowadays but a challenging task, due to the large parameter space, the acyclicity constraint ...

Ariadne is a Binary Ninja plugin that serves a browser-based interactive graph visualization for assisting reverse engineers. It implements some common static analysis tasks including call graph ...

Despite the increasing number of pharmaceutical companies, university laboratories and funding, less than one percent of initially researched drugs enter the commercial market. In this context, ...

The Fries rule is a simple, intuitive tool to predict the most dominant Kekulé structures of polycyclic aromatic hydrocarbons (PAHs), which is valuable for understanding the structure, stability, ...

As a physiological process and high-level cognitive behavior, emotion is an important subarea in neuroscience research. Emotion recognition across subjects based on brain signals has attracted much ...

It's quite clear that things aren't going so well with this Covid-19 pandemic. I mean, it's bad, and it seems to be getting worse. The number of infected humans is just getting stupid-large. As of ...

A vue component library based on the JUI charts available in vuejs. Unlike other chart components, vue-graph have child nodes in the chart called widgets. The widget is used as an additional function ...