A new graph neural network framework called EGNN expands rare attack samples and uses threshold-controlled pseudo-labeling to ...

A new study finds that the robustness of shallow graph embedding methods for community detection under node deletion varies ...

As the perils of cyber security breaches continue to plague industries, governments, and citizens throughout the world, the need to detect these infiltrating events, as well as identify their attack ...

Looks can be deceiving and that's one of the problems with today's three-dimensional bar graph. While these graphs may look correct, researchers from the Johns Hopkins Bloomberg School of Public ...

(Phys.org) —Hiding the complexities that underpin exascale system operations from application developers is a critical challenge facing teams designing next-generation supercomputers. One way that ...

Looks can be deceiving and that's one of the problems with today's three-dimensional bar graph. While these graphs may look correct, researchers from the Johns Hopkins Bloomberg School of ...