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To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.
Abstract: In recent years, Graph Neural Networks (GNNs) have achieved significant success in graph-based tasks. However, they still face challenges in complex scenarios, particularly in integrating ...
Abstract: This paper presents a novel deep learning architecture, the Dual-scale Attribute Graph Transformer (DAGT), for extracting spatial-temporal features from attributed graph data. DAGT addresses ...