Bluesky was opening up to the public and was known as one of the many X competitors that emerged after Elon Musk acquired the ...

How can the future of the internet be imagined beyond social media platforms? What can we learn from other networks? Those ...

Abstract: We initiate an empirical investigation of differentially private graph neural networks for medical population graphs ... which comes with an additional difficulty of graph structure ...

Cybersecurity researchers have uncovered malicious packages uploaded to the Python Package Index (PyPI ... a backdoor on the developer's system to facilitate code execution and data exfiltration.

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs ...

“It is,” explains Jamie Boote, a principal security consultant at Black Duck, “a type of deep learning that models hardware and software architecture on natural structures ... also process data ...

Abstract: Event-based social networks (EBSNs), such as Meetup and Plancast ... In this paper, we propose a general graph-based model, called HeteRS, to solve the three recommendation problems on EBSNs ...