Motor imagery (MI) is the mental process of imagining a specific limb movement, such as raising a hand or walking, without physically performing it. These imagined movements generate distinct patterns ...
Dynamic Graph Neural Networks (Dynamic GNNs) have emerged as powerful tools for modeling real-world networks with evolving topologies and node attributes over time. A survey by Professors Zhewei Wei, ...
Abstract: Graph Neural Networks (GNNs) have gained popularity as an efficient choice for learning on graph-structured data. However, most methods are node or graph-centered, often overlooking valuable ...
Abstract: Existing trajectory representation learning methods are usually designed for specific downstream tasks, resulting in limited generality. Specifically, (1) current grid graph-based ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Pew Research Center conducted this study to understand Americans’ views of artificial intelligence (AI) and its potential impact on people and society. For this analysis, we surveyed 5,023 adults from ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Stroke remains a leading cause of mortality and disability worldwide, requiring timely therapeutic decisions. Existing content-based drug recommendation approaches often rely on static similarity ...
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