activity
20162026
most citedGraph of Thoughts: Solving Elaborate Problems with Large Language Models

483 citations · 1k across the 69 of their papers we have counts for

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5 papers · 1 filter

cs.DB2026

GraphSeek: Next-Generation Graph Analytics with LLMs

Maciej Besta, Łukasz Jarmocik, Orest Hrycyna +7

Graphs 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 indust…

cs.DB2025

Benchmarking Filtered Approximate Nearest Neighbor Search Algorithms on Transformer-based Embedding Vectors

Patrick Iff, Paul Bruegger, Marcin Chrapek +3

Advances in embedding models for text, image, audio, and video drive progress across multiple domains, including retrieval-augmented generation, recommendation systems, and others.…

cs.DB2025

Higher-Order Graph Databases

Maciej Besta, Shriram Chandran, Jakub Cudak +6

Recent advances in graph databases (GDBs) have been driving interest in large-scale analytics, yet current systems fail to support higher-order (HO) interactions beyond first-order…

cs.DB2023★ 13 cited

The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores

Maciej Besta, Robert Gerstenberger, Marc Fischer +9

Graph databases (GDBs) are crucial in academic and industry applications. The key challenges in developing GDBs are achieving high performance, scalability, programmability, and po…

cs.DB2019★ 20 cited

Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries

Maciej Besta, Robert Gerstenberger, Emanuel Peter +5

Graph processing has become an important part of multiple areas of computer science, such as machine learning, computational sciences, medical applications, social network analysis…