GPhase, a new haplotype-resolved scaffolding algorithm, jointly leverages assembly graphs and 3C signals to construct accurate chromosome-level assemblies for polyploid genomes, reducing missing ...

Researchers report distributed-memory implementations of the WCC and CM algorithms that post-process network clusterings for ...

Until now, selecting quantum optimisation algorithms relied on trial and error, choosing mixers based more on what’s easy to ...

A guarantee for estimating distances across networks, set in 1996, now reaches much closer pairs of points than anyone had ...

Improved Graph Isomorphism result: continuing our work on this problem, we now present an algorithm running in n^O(log n) time, improving the best known exponent from 2 to 1! Graph Isomorphism now ...

The GTM stack is getting an operating system. Most teams don’t know they’re already building on it.

This research introduces quantum graph networks for max-clique detection, overcoming trainability issues with compositional ...

Response time stays predictable. In a relational database, the same check means self-joining an identifier table for each ...

From an era where AI writes code, to an era where it repeatedly tests candidates and improves algorithms by keeping the good ...

SuiteSparse:GraphBLAS is a complete implementation of the GraphBLAS standard, which defines a set of sparse matrix operations on an extended algebra of semirings using an almost unlimited variety of ...

A computer scientist has found a way to estimate distances across huge networks more reliably without increasing the method’s overall mathematical running time. The advance extends a useful accuracy ...

The Data Structure and Graph Performance Analyzer is a Java-based console application developed for the CIT300 Data Structures and Algorithms module. The project demonstrates the implementation and ...