Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...

Abstract: Promptly perceiving distribution system states is challenged by frequent topology changes and uncertain power injections. To address these issues, a Meta-learning enhanced physics-informed ...

Exploring the triacylglycerols composition in milk samples from different ruminant species is crucial for dairy product development. Identifying the fatty acid (FA) composition in human milk is ...

Over two days last week, teachers, parents, administrators, lobbyists and others took turns explaining to state lawmakers the ...

The Union government has notified a revised cadre allocation policy for candidates selected through the Civil Services ...