University of Virginia School of Engineering and Applied Science professor Nikolaos Sidiropoulos has introduced a breakthrough in graph mining with the development of a new computational algorithm.

While these networks are effective at capturing long-range dependencies in graphs and addressing over-smoothing issues, they require computationally expensive fixed-point iterations. This reliance on ...

Forces both locally and in international markets have clearly been pushing the Phillips curve down, producing lower inflation. Photo / 123RF Economists working on macroeconomic policy – things ...

In the textbooks, each of those relationships is drawn as a curve in a graph. First is the IS (“investment–saving”) curve. This says that if everything else stays the same, the Reserve Bank ...

This repository hosts the open sources of the Neo4j Graph Data Science (GDS) library. The GDS library is a plugin for the Neo4j graph database. GDS comprises graph algorithms, graph transformations, ...

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained ...

We’re not just talking about models and algorithms; we’re talking about crossing boundaries, be it language, culture, or academic fields, to tackle some really big issues. Simply put, we aim to ensure ...