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Deep learning model dramatically improves subgraph matching accuracy by eliminating noiseMore information: Masaki Shirotani et al, ENDNet: Extra-Node Decision Network for Subgraph Matching, IEEE Access (2025). DOI: 10.1109/ACCESS.2025.3543206 Source code on GitHub ...
The Dodgers suffered a walk-off loss to the Miami Marlins, ending 4-5, after an extra 10-inning match on the 7th (Korean time) at LoanDepot Park in Miami, Florida. However, during the scoring ...
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 ...
Second, three strategies are proposed and applied in GCF to further accelerate the process of subgraph matching. In detail, GCF analyzes the structure of the pattern graph and avoids redundant ...
The t-distribution is a continuous probability distribution ... The t-distribution, like the normal distribution, is bell-shaped and symmetric, but it has heavier tails, which means that it ...
Abstract: The electrohydraulic flow matching (EFM) system is a competitive alternative ... To address this problem, a pump-based compensation method is proposed to improve the dynamic performance ...
Non-invasive continuous physiological signal acquisition techniques have been widely applied in brain-heart dynamic assessment. However, current research on gut function primarily focuses on gut ...
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
We present two techniques to simplify and compare data-flow graphs: (1) a graph simplification algorithm to reduce the computational burden of processing large and granular data-flow graphs while ...
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