Refining with colors Mathematicians have developed various strategies to compare graphs. Since the 1970s, algorithms have been able to test graph isomorphism, but in exponential time.

Such studies furnish robust algorithms capable of handling a wide range of graph types, thereby opening new avenues for analysing the interplay between algebraic invariants and graph structure [3].

KAIST’s tool – which is named “Trillion-scale Graph Processing Simulation,” or T-GPS – bypasses the storage step. Instead, T-GPS loads the smaller, real graph into its main memory. Then, it runs the ...

Now imagine that you want to insert a new edge connecting two nodes in a planar graph, say nodes 1 and 6 in the example below. To do so, you’re going to perform a series of flips. From the starting ...

Graph analytics and knowledge graphs facilitate scientific research for COVID-19 State of the art in analytics and AI can help address some of the most pressing issues in scientific research.

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 ...

In other words, a knowledge graph is a programmatic way to model a knowledge domain with the help of subject-matter experts, data interlinking, and machine learning algorithms.