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 ...

Back in the hazy olden days of the pre-2000s, navigating between two locations generally required someone to whip out a paper map and painstakingly figure out the most optimal route between those ...

SEA 2024 - 22nd International Symposium on Experimental Algorithms, Leibniz International Proceedings in Informatics (LIPIcs) 301, 14:1--14:19, 2024 Careen Foord, Andrey D. Prjibelski, Wen Hu, Lieke ...

Two computer scientists found — in the unlikeliest of places — just the idea they needed to make a big leap in graph theory. This past October, as Jacob Holm and Eva Rotenberg were thumbing through a ...

It hadn’t occurred to me in quite these terms before, but Google has an algorithm for its Knowledge Graph. I have been tracking the Knowledge Graph API for five years. The resultScores have always ...

Like the core algorithm, Google’s Knowledge Graph periodically updates. But little has been known about how, when, and what it means — until now. I believe these updates consist of three things: ...

Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...