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Publications of Torsten Hoefler
Maciej Besta, Lukasz Jarmocik, Orest Hrycyna, Shachar Klaiman, Konrad Mączka, Robert Gerstenberger, Jürgen Müller, Piotr Nyczyk, Hubert Niewiadomski, Torsten Hoefler:
| | | GraphSeek: Next-Generation Graph Analytics with LLMs
(arXiv:2602.11052. Mar. 2026)
AbstractGraphs are foundational across domains but remain hard to use without deep expertise. LLMs promise accessible natural language (NL) graph analytics, yet they fail to process industry-scale property graphs effectively and efficiently: such datasets are large, highly heterogeneous, structurally complex, and evolve dynamically. To address this, we devise a novel abstraction for complex multi-query analytics over such graphs. Its key idea is to replace brittle generation of graph queries directly from NL with planning over a Semantic Catalog that describes both the graph schema and the graph operations. Concretely, this induces a clean separation between a Semantic Plane for LLM planning and broader reasoning, and an Execution Plane for deterministic, database-grade query execution over the full dataset and tool implementations. This design yields substantial gains in both token efficiency and task effectiveness even with small-context LLMs. We use this abstraction as the basis of the first LLM-enhanced graph analytics framework called GraphSeek. GraphSeek achieves substantially higher success rates (e.g., 86% over enhanced LangChain) and points toward the next generation of affordable and accessible graph analytics that unify LLM reasoning with database-grade execution over large and complex property graphs.
Documentsdownload article: 
| | | BibTeX | @article{besta2026graphseek, author={Maciej Besta and Lukasz Jarmocik and Orest Hrycyna and Shachar Klaiman and Konrad Mączka and Robert Gerstenberger and Jürgen Müller and Piotr Nyczyk and Hubert Niewiadomski and Torsten Hoefler}, title={{GraphSeek: Next-Generation Graph Analytics with LLMs}}, journal={arXiv:2602.11052}, year={2026}, month={Mar.}, source={http://www.unixer.de/~htor/publications/}, } |
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