A new framework called Falcon, developed by Unnikrishnan Cheramangalath, is revolutionizing graph analytics. This ...
Multi-view clustering algorithms have emerged as a pivotal area of machine learning research, designed to integrate and exploit diverse sources of data depiction. By utilising multiple views or ...
Researchers took one of the most popular clustering approaches in modern biology -- Markov Clustering algorithm -- and modified it to run efficiently and at scale on supercomputers. Their algorithm ...
Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several ...
Recently, Applied Mathematics graduate student Alec Dunton and his team won the Graph Challenge as a part of his summer internship at Lawrence Livermore National Laboratory. The GraphChallenge, as ...
4monon MSN
Hard in theory, easy in practice: Why graph isomorphism algorithms seem to be so effective
Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a ...
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 ...
Family has always been important to those working in population genetics. When Sohini Ramachandran was a postdoc, the issue ...
Did you know that the tools used for analyzing relationships between social network users or ranking web pages can also be extremely valuable for making sense of big science data? On a social network ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results