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

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

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, ...

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 ...

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 ...

A NEW fad is sweeping across Silicon Valley, causing excitement, confusion and hyperbole not seen since the dotcom bubble. It began in May, when Mark Zuckerberg, ten days after turning 23, took the ...

Neo4j is both the original graph database and the continued leader in the graph database market. Designed to store entities and relationships, and optimized to perform graph operations such as ...