Graph theory is a branch of mathematics that studies the properties and applications of graphs, which are structures made up of vertices (or nodes) connected by edges. One of the significant areas ...

Random graphs and matrices theory is a fascinating area of study that explores the properties and behaviors of graphs and matrices that are generated by random processes. This field has ...

To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren't a good fit to train large ...

Highlights,Developed the Efficient Markets Hypothesis, revolutionizing finance.,Served as a finance professor at the ...

This paper is the first academic paper discussing dual-channel deep graph neural networks. The algorithm proposed in this paper is verified and introduced by many measure approaches, such as theory, ...

Source code for the Neo4j Graph Data Science library of graph algorithms.

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Now, Barthelmey has taken things one step further by publishing a new paper in the journal Physical Review E that treats ...