Abstract: Graph Contrastive Learning (GCL) has emerged as the foremost approach for self-supervised learning on graph-structured data. GCL reduces reliance on labeled data by learning robust ...
Raster-to-Graph is a novel automatic recognition framework, which achieves structural and semantic recognition of floorplans, addresses the problem of obtaining high-quality vectorized floorplans from ...
Abstract: This study focuses on dynamic output feedback control for a category of switched systems featuring mode-dependent average dwell-time. A novel time-scheduled control strategy is implemented, ...
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