Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

Building knowledge graphs from your data One key feature of Neo4j is the concept of the knowledge graph, linking unstructured information in nodes into a structured graph.

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

Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...

This information is typically stored in a graph database and subsequently represented as a graph structure, which is the basis for the term "knowledge graph." History of Knowledge Graphs ...

Graphs naturally generalize unstructured vectorial data and structured data such as time series, images or bags of entities. The goal of this course is to provide an overview of the fundamental ...

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. At Data Summit 2023, Joseph Hilger, COO, Enterprise Knowledge LLC ...