Abstract: A critical aspect of graph neural networks (GNNs) is to enhance the node representations by aggregating node neighborhood information. However, when detecting anomalies, the representations ...

This module uses random number generators to simulate dice rolls. The user can provide any number of different sided dice and the number of times the dice are rolled. The program will then produce a ...

In the last decade, the U.S. electric power sector turned away from coal to embrace wind turbines and solar panels, two energy generating sources that require little ...

Abstract: Modeling the spatiotemporal relationship (STR) of traffic data is important yet challenging for existing graph networks. These methods usually capture features separately in temporal and ...

The inference of cell-cell communication (CCC) is crucial for a better understanding of complex cellular behavior and regulatory mechanisms in biological systems. However, current computational ...

Objectives To assess the effectiveness of bar graph, pictograph and line graph compared with text-only, and to each other, for communicating prognosis to the public. Design Two online four-arm ...

Follow us on Facebook and join our Telegram channel for the latest updates. The China data centre business owned by Bain Capital’s Chindata Group Holdings Ltd. has drawn interest from local bidders ...

TransUnion LLC is facing a proposed class action accusing the credit reporting company of failing to protect the personally identifiable information of more than 4 million people that was exposed in a ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Consumer credit reporting giant TransUnion has been struck by a massive data breach that exposed the personal information of over 4.4 million people in the US. TransUnion is one of the three major ...