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Slides for this talk: https://www.slideshare.net/neo4j/graphconnect-europe-2017-ingraph-live-queries-on-graphs What is the common challenge in detecting frauds in financial transactions, analyzing source code repositories and performing runtime verification on cyber-physical systems? These applications operate on large, continuously changing graphs and use complex queries, but also require quick response times. However, these queries are usually known in advance, so a smart query engine can rely on previous results and only calculate the differences of the last change. ingraph is a query engine for continuous and live queries. It allows users to register graph queries, precompute their results and evaluate changes in milliseconds. Gábor Szárnyas Budapest University of Technology and Economics