Abstract: Fully distributed learning schemes based on opportunistic exchanges among nodes, such as Gossip Learning (GL), have recently attracted attention due to their superior scalability, robustness ...

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, and recommendation ...

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, ...

Infeasible paths constitute a bottleneck for the complete automation of software testing, one of the most expensive activities of software quality assurance. Research efforts have been spent on ...

See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...

The repository includes different Managers, many of which communicate on the southbound with Edge Nodes. The Managers are implemented as micro-services part of the Edge Infrastructure Manager of the ...

A new technique breaks Dijkstra's 70-year-old record: it finds routes faster in huge networks, changing graph theory forever.

Being concerned that TSMC’s expansion into the United States could dilute Taiwan’s semiconductor leadership, Taiwanese authorities are mulling setting a new export rule that would only let the world’s ...

Graphics Cards Nvidia is reportedly looking to cut gaming GPU production by up to 40% in 2026 due to VRAM supply issues, but it's not as bad news as you might think. Not yet, at least Processors PC ...

Abstract: Although Graph Neural Networks (GNNs) have exhibited the powerful ability to gather graph-structured information from neighborhood nodes via various message-passing mechanisms, the ...