5 citations · 8 across the 4 of their papers we have counts for
4 papers
Grid-AR: A Grid-based Booster for Learned Cardinality Estimation and Range Joins
Damjan Gjurovski, Angjela Davitkova, Sebastian Michel
We propose an advancement in cardinality estimation by augmenting autoregressive models with a traditional grid structure. The novel hybrid estimator addresses the limitations of a…
Approximate Query Processing via Tuple Bubbles
Damjan Gjurovski, Sebastian Michel
We propose a versatile approach to lightweight, approximate query processing by creating compact but tunably precise representations of larger quantities of original tuples, coined…
Compressing (Multidimensional) Learned Bloom Filters
Angjela Davitkova, Damjan Gjurovski, Sebastian Michel
Bloom filters are widely used data structures that compactly represent sets of elements. Querying a Bloom filter reveals if an element is not included in the underlying set or is i…
LMKG: Learned Models for Cardinality Estimation in Knowledge Graphs
Angjela Davitkova, Damjan Gjurovski, Sebastian Michel
Accurate cardinality estimates are a key ingredient to achieve optimal query plans. For RDF engines, specifically under common knowledge graph processing workloads, the lack of sch…