We develop and engineer algorithms for fully dynamic graph problems-- efficiently maintaining solutions as edges and vertices are inserted and deleted. Developed at the Algorithm Engineering Group, ...

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Abstract: Random walk centrality is a fundamental metric in graph mining for quantifying node importance and influence, defined as the weighted average of hitting times to a node from all other nodes.

One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling discovery about the relationship between time and memory in computing.

Python implementation of the Coupled Biased Random Walks (CBRW) outlier detection algorithm described by Pang, Cao, and Chen in https://www.ijcai.org/Proceedings/16 ...

Although building a large practical quantum computer is still a long-term project, over the past two decades researchers have made great progress in building rudimentary quantum hardware and in ...

A team led by Northwestern Engineering researchers has developed the first artificial intelligence (AI) to date that can intelligently design robots from scratch. To test the new AI, the researchers ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Rajeev Dhir is a writer with 10+ years of experience as a journalist with a background in broadcast, print, and digital newsrooms. Thomas J Catalano is a CFP and Registered Investment Adviser with the ...