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

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Where to use knowledge graphs. According to Gartner’s Top 10 Data and Analytics Trends for 2021, knowledge graphs are the foundation of modern data and analytics, with capabilities to enhance ...

Industry shift: time to apply data visualisation best practices to transaction reporting There is tremendous opportunity to use data visualisation to support better decision-making for compliance. 65 ...

Graph neural networks show promise for detecting money laundering and collusion in transaction webs. ... Policymakers may find value in GNN-driven analytics to shape smarter data-sharing ...

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 ...