Graph-based pattern mining encompasses a suite of computational methods designed to discover recurring substructures within graph-structured data. These techniques involve systematically enumerating ...

Speaking the Graphing Social Patterns conference (covering the business and technology of Facebook) in San Jose today, Linkedin founder and chairman Reid Hoffman poured cold water on the notion that a ...

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...

The dean of search engine analysis Danny Sullivan, editor-in-chief of Search Engine Land, gave a talk on how "social" intersects with search at the Graphing Social Patterns conference in San Jose. At ...

Graph pattern matching constitutes the identification of specific substructures within a larger network, a task of central importance across disciplines as diverse as social media analysis, ...

It's only October and we're already knee deep in conferences. Last week we brought you a behind the scenes look at the Momentum Growth Conference, and today we're going to be updating you from the ...

Part I of our series on graph analytics introduced us to graph analytics, and its brethren graph databases. We talked about the use of graph analytics to understand and visualize relationships between ...