A new algorithm efficiently solves the graph isomorphism problem ... In math terminology, “graph” is a fancy word for a network, the kind of diagram that depicts, for instance, a web of ...

They can be used to represent everything from a social network to road systems to the ... planar and without checking every single part of the graph when only one small part is affected. The 1996 ...

To make graphs useful to deep learning algorithms, their data must be transformed into a format that can be processed by a neural network. The type of formatting used to represent graph data can ...

In algorithms, as in life, negativity can be a drag. Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links, or edges. Often, these ...

With the rapid development of mobile networks, location-based services have become deeply embedded in people's daily lives. Although the k-NN search problem has obtained a lot of research results ...

Combined with algorithms that can handle such graphs it’s a great way to not only make the basic structure of a network clear, but also to model structures and systems. Naturally, finding a ...

much like a public transportation network. Mathematicians have long sought to develop algorithms that can compare any two ...

An example of the algorithm being used to quickly solve Figure 1 ... Equate the desired voltage or resistance of the network over temperature and graph its response. The desired voltage/resistance is ...