Edge colouring is a fundamental concept in graph theory whereby colours are assigned to the edges of a graph such that no two adjacent edges share the same colour. This process is central to numerous ...
Korean research institute Kaist has found a way to develop a one trillion edge graph algorithm on a single computer without storing the graph in the main memory or on disc. ‘Develop’ is the important ...
Another day, another graph funding round. Last week it was TigerGraph, this week it's Katana Graph. Katana Graph, a high-performance scale-out graph processing, AI, and analytics company, announced it ...
Graph databases are gaining attention as enterprises work on their next-generation artificial intelligence (AI) applications. While still a bit of an outlier, graph-oriented databases continue to find ...
Graph databases offer a more efficient way to model relationships and networks than relational (SQL) databases or other kinds of NoSQL databases (document, wide column, and so on). Lately many ...
A more nimble computer-based model has been developed that quickly analyzes the performance of super graphs, such as those used by Google to rank Internet websites. Himchan Park and Min-Soo Kim of ...
SEPARATION OF CARTESIAN PRODUCTS OF GRAPHS INTO SEVERAL CONNECTED COMPONENTS BY THE REMOVAL OF EDGES
Let G = (V(G), E(G)) be a graph. A set S ⊆ E(G) is an edge k-cut in G if the graph G − S = (V(G), E(G) \ S) has at least k connected components. The generalized k-edge connectivity of a graph G, ...
Move over Hadoop, there is another highly scalable data-processing powerhouse in town: Apache Giraph. Facebook is using the technology to bring a new style of search to its billion users. “Analyzing ...
Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. One of the most powerful ways through which we convey the results of ...
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