Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

Graph algorithms are the driving force behind the next generation of AI and machine learning that will power even more industries and use cases. To this end, Redwood City, Calif.-based graph ...

“The new algorithm is a remarkable tour de force,” said Giuseppe Italiano, a computer scientist at Luiss University and a co-author of the 1996 paper describing what is now the second-fastest ...

Today Memgraph, the streaming graph application platform, announced Memgraph 2.0, the public launch of its source-available platform, making it easy f ...

The graph database shines when asked to search through the networks defined by these connections. They have specialized algorithms for compiling the layers of relationships that radiate out from ...

Graph algorithms can solve a certain class of connected network problems more efficiently than other computational approaches. By treating a given piece of data as a node that is connected (via edges) ...

Graph Algorithms: Computational procedures designed to solve problems related to graph structures, encompassing processes such as traversal, shortest path determination, and network flow analysis.

Published research demonstrates that reduced link graphs are an effective way to rank links. This article discusses research and patents that explain how reduced link graph algorithms work.

By applying a well-known graph algorithm to the XRP ledger data, we look at the top 10 XRP accounts by page rank over the past years. PageRank is named after Google co-founder Larry Page and is ...