2 papers
cs.CG2026
Benchmarking and Engineering Data Structures for Spherical Range Queries
Thomas Bläsius, Jean-Pierre von der Heydt, Tobias Kempf +2
Spherical range queries are a fundamental primitive for working with spatial data. Many spatial data structures have been developed to answer these queries, but choosing the optima…
cs.LG2024
Weighted Embeddings for Low-Dimensional Graph Representation
Thomas Bläsius, Jean-Pierre von der Heydt, Maximilian Katzmann +1
Learning low-dimensional numerical representations from symbolic data, e.g., embedding the nodes of a graph into a geometric space, is an important concept in machine learning. Whi…