Abstract: Recently, some research has utilized machine learning methods to identify critical nodes in complex networks. However, existing approaches often lack a comprehensive consideration of network ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
This ruleset is a high-performance Bazel integration for JavaScript, based on the pnpm package manager. Aspect Workflows delivers on Bazel's promises of speed and cost-savings. It provides Continuous ...
A powerful Node.js wrapper for yt-dlp that provides a simple, type-safe interface for downloading, streaming, and fetching metadata from videos across thousands of websites.
Abstract: Detecting critical nodes in sparse graphs is important in a variety of application domains, such as network vulnerability assessment, epidemic control, and drug design. The critical node ...
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