Reformulates RkNN queries as graphics ray casting to leverage GPU ray-tracing cores, claiming better performance than prior methods in challenging spatial database scenarios.
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Pith papers citing it
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cs.DB 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
HRNN combines a navigation graph, ranked KNN graph, and reverse-neighbor lists with proxy-based candidate generation and materialized kNN-radii to achieve up to 10x higher throughput for approximate RkNN on datasets up to 10M vectors.
citing papers explorer
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RT-RkNN: Reverse k Nearest Neighbor Queries as a Graphics Ray Casting Problem
Reformulates RkNN queries as graphics ray casting to leverage GPU ray-tracing cores, claiming better performance than prior methods in challenging spatial database scenarios.
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HRNN: A Hybrid Graph Index for Approximate Reverse k-Nearest Neighbor Search on High-Dimensional Vectors
HRNN combines a navigation graph, ranked KNN graph, and reverse-neighbor lists with proxy-based candidate generation and materialized kNN-radii to achieve up to 10x higher throughput for approximate RkNN on datasets up to 10M vectors.