In the modern digital era, fraud in programmatic advertising has become a multi-billion-dollar challenge, threatening the ...

Nevertheless, prior methods have predominantly centered on supervised learning, which necessitates a reliance on costly labeled datasets. In response to this challenge, graph contrastive learning ...

To address the above issue, we propose a semantic graph learning framework (SGLF) to comprehensively align the global features of optical remote sensing and SAR images by modeling the cross-modality ...