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

Graph is a commonly used data structure to store large relational data in today's education networks. With the growing demand for storing and processing large graph data, graph data compression is ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

K-Path centrality is based on the flow of information in a graph along simple paths of length at most K. This work addresses the computational cost of estimating K-path centrality in large-scale ...