Abstract: In light of the growing emphasis on the right to be forgotten of graph data, machine unlearning has been extended to unlearn the graph structures’ knowledge from graph neural networks (GNNs) ...

YouTube, one of the biggest music streaming platforms in the world, will no longer submit data to Billboard for its U.S. music charts starting early next year. As Cohen explained, YouTube’s main gripe ...

Structure Therapeutics’ stock soared toward an 18-month high in early Monday trading, after mid-stage data for its oral daily GLP-1 receptor appeared comparable to that of one of Eli Lilly’s ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

CrowdStrike Holdings Inc.’s Enterprise Graph solution is the company’s latest defense against cyberattacks fueled by agentic artificial intelligence. The innovation is part of the company’s new ...

ON SEPTEMBER 10th Charlie Kirk, a right-wing activist, was shot dead while speaking at a university in Utah. Although a suspect is in custody, the motive of the killer is still unknown. President ...

To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

From a tiny sample of tissue no larger than a grain of sand, scientists have come within reach of a goal once thought unattainable: building a complete functional wiring diagram of a portion of the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Traditional caching fails to stop "thundering ...

Spatial-temporal data handling involves the analysis of information gathered over time and space, often through sensors. Such data is crucial in pattern discovery and prediction. However, missing ...