2 papers
cs.DB2026
OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search
Lizheng Chen, Pinhuan Wang, Shaonan Ma +9
At billion scale, approximate nearest neighbor search (ANNS) often becomes an out-of-core problem: the full vector collection and index structures exceed memory capacity, making qu…
cs.LG2025
HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks
Xiangfei Fang, Boying Wang, Chengying Huan +3
Hypergraph representation learning has garnered increasing attention across various domains due to its capability to model high-order relationships. Traditional methods often rely…