Graph neural networks help to process and analyze complex graph-structured data, unlocking new possibilities across a wide range of applications.

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 ...

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

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.

Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring.

The Graph introduces GRC-20, a Web3 data standard redefining how decentralized applications structure and share data.

What exactly are knowledge graphs, and what's with all the hype about them? Learning to tell apart hype from reality, defining different types of graphs, and picking the right tools and database ...

Suddenly, regular graphs start to pop up. That feature allowed the two authors to unearth a regular graph from all types of graphs: Any graph with enough edges contains a graph that mimics one of ...