First is Node2Vec, a popular graph embedding algorithm that uses neural networks to learn continuous feature representations for nodes, which can then be used for downstream machine learning tasks.

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

Graph isomorphism in quasipolynomial time I: The “Local Certificates Algorithm.” Combinatorics and Theoretical Computer Science seminar, Chicago, November 10, 2015.

Professor tackles graph mining challenges with new algorithm. ScienceDaily. Retrieved July 12, 2025 from www.sciencedaily.com / releases / 2024 / 10 / 241018162554.htm.

The gFTP algorithm constructs binary recurrent neural networks with user-defined dynamics by adjusting non-realizable graphs and solving linear problems. This innovative approach enhances the ...

Scalable Graph Algorithms for Bioinformatics using Structure, Parameterization and Dynamic Updates, ERC Consolidator Grant, 9/2025-8/2030 Sequencing technologies have developed to be cheap and ...

I have been tracking the Knowledge Graph API for five years. The resultScores have always been rising slightly in a pretty stable manner. But Google updated the algorithm in the summer of 2019 ...