Graph matching and edit distance algorithms form a cornerstone of modern computational techniques used to quantify the similarity between structured data. These methods underpin a wide array of ...
Abstract: In optical satellite network, the possible optical inter-satellite links (OISLs) candidate for each satellite are usually more than laser communication terminals (LCTs) equipped. This poses ...
In this presentation, the authors describe the emerging graph pattern approach and the system design of StreamWorks and demonstrate its emerging threat detection capabilities. We are developing ...
We introduce and study a new model that we call the matching model. Items arrive one by one in a buffer and depart from it as soon as possible but by pairs. The items of a departing pair are said to ...
Abstract: We introduce the spanning tree matching (STM) decoder for surface codes, which guarantees the error correction capability up to the code’s designed ...
Óstáilte ar MSN
Deep learning model dramatically improves subgraph matching accuracy by eliminating noise
A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the accuracy of subgraph matching—a critical task in fields ranging from drug ...
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