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Neighborhood queries are the most common queries on graphs; thus, it isdesirable to answer them efficiently on compressed data structures. We presenta compression scheme called Incidence-Type-RePair (ITR) for graphs with labelednodes and labeled edges based on RePair and apply the scheme to network,version, and RDF graphs. We show that ITR performs neighborhood queries andtriple queries in only a few milliseconds and thereby outperforms existingsolutions while providing a compression size comparable to existing graphcompressors.

ITR: Grammar-based graph compression supporting fast triple queries