It’s often assumed that Dijkstra’s algorithm, or the A* graph traversal algorithm is used, but the reality is that although these pure graph theory algorithms are decidedly influential ...

RECOMB 2016: 152-163 (also JCB 2017) For further details and more recent papers on this topic, check the page of our ERC Starting Grant "Safe and Complete Algorithms for Bioinformatics". String ...

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many algorithms always seem to work efficiently. But in theory, there is no guarantee.

Our research is focused on graph algorithms, from both a theoretical perspective, and a practical perspective motivated by real-world problems in Bioinformatics, such as genome sequencing technologies ...

Understanding potential pitfalls—and how to overcome them—can help organizations maximize the value of this technology.

However, researchers have developed efficient algorithms for specific types of graphs, such as trees and spread cactus graphs, to determine the geodesic-transversal number, which quantifies the ...

including time and space complexity, sorting algorithms, recurrence relations, divide and conquer algorithms, greedy algorithms, dynamic programming, linear programming, graph algorithms, problems in ...

Graph mining algorithms typically focus on finding dense connections between individual pairs of points, such as two people ...