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 ...

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 ...

This guest post is written by Dave McClure: startup advisor, angel investor, PayPal alumnus, and Master of 500 Hats. Dave is organizing next week’s Graphing Social Patterns conference on Facebook, ...

It's been a relatively slow morning for Graphing Social Patterns. So far, the juiciest morsel of Power Point explication came from Forrester Research's VP & Principal Analyst, Charlene Li (pictured ...

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, ...

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 ...

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 ...