Seeing the Trees for the Forest: Leveraging Tree-Shaped Substructures in Property Graphs
Abstract
Property graphs often contain tree-shaped substructures, yet they are not captured by existing proposals for graph schemas; likewise, query languages and query engines offer little-to-no native support for managing them systematically. As a first contribution, we report on a micro experiment that demonstrates the optimization potential of treating tree-shaped substructures as first class citizens in graph database systems. In particular, we show that in systems backed by relational engines, we can achieve substantial speedups by leveraging structural indexes, as originally developed for XML databases, to accelerate path queries. Based on our findings, we put forward a vision in which tree-shaped substructures are systematically managed throughout the graph query lifecycle, from modeling and schema design to indexing and query processing, and outline arising research questions.
Keywords
Cite
@article{arxiv.2603.12476,
title = {Seeing the Trees for the Forest: Leveraging Tree-Shaped Substructures in Property Graphs},
author = {Daniel Aarao Reis Arturi and Christoph Köhnen and George Fletcher and Bettina Kemme and Stefanie Scherzinger},
journal= {arXiv preprint arXiv:2603.12476},
year = {2026}
}