That’s thanks to a knowledge graph. But what exact. Even though it probably affects our lives every single day, most of us have no idea what a “knowledge graph” is.

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use.

Graph database vs. relational database. In a traditional relational or SQL database, the data is organized into tables. Each table records data in a specific format with a fixed number of columns ...

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.

The graphs that mathematicians study can get very large and complicated, so it helps to have some simple features to look at. One such feature is the sum of all the degrees of a graph. Right away, ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

Graph neural networks can be created like any other neural network, using fully connected layers, convolutional layers, pooling layers, etc.

Neo4j is the most popular graph database on the market these days. While graph databases are part of the NoSQL movement, they really solve different problems than, say, Couchbase or MongoDB.

A directed acyclic graph or DAG is a data modeling or structuring tool typically used in cryptocurrencies. Unlike a blockchain, which consists of blocks, directed acyclic graphs have vertices and ...