Abstract: Graph neural networks (GNNs) have demonstrated remarkable effectiveness in various graph representation learning tasks. However, most of existing methods achieve the information extraction ...
Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...
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 ...
ABSTRACT: Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction ...
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 ...
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