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 ...

3 In the commonly used genome sequencing pipelines, dynamic programming (DP) algorithms are widely used ... For instance, approximate string matching, an algorithm applied in DNA, RNA, and protein ...

ABSTRACT: “All is Number”—the universe follows a few profound mathematical rules, and pure thought can grasp reality. This paper explores the first principles of fundamental physics, focusing on the ...

To deal with the subgraph matching problem in dynamic graphs, continuous subgraph matching has been proposed. However, methods of solving continuous subgraph matching problems are still time-consuming ...

join Jill Malandrino on Nasdaq TradeTalks to discuss the semiconductor industry's dynamic nature and continuous evolution to meet the demands of emerging technologies and market needs. Sign up for ...

Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States College of Polymer Science and Engineering, Sichuan University, Chengdu 610065 ...

Dynamic stochastic matching problems arise in a variety of recent applications, ranging from ridesharing and online video games to kidney exchange. Such problems are naturally formulated as Markov ...

The repo lists papers of various areas, including Graph Analytics, Graph Acceleration, Subgraph Matching, Streaming Graph Management, Worst-case Optimal Join Algorithms, Join Plan Optimization, and so ...