AI for Massive Knowledge Graphs

AI for Massive Knowledge Graphs

Integrating knowledge graph technologies with AI agents and graph analytics can expose new pathways to interacting with your data and extract actionable information for your use case, allowing even massive graphs to be processed in a scalable manner. Here, we explore...
How we implemented scalable graph summarization

How we implemented scalable graph summarization

tl;dr k-bisimulation can be used to create a condensed version of a graph. This condensed version is a graph summary, keeping specific properties of the original k-bisimulation partitions the nodes of the graph in equivalence classes which we call blocks We create the...