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Jinrui Gou

2 accepted papers

2025

Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search

NeurIPS 2025poster

Nearest neighbor search is central in machine learning, information retrieval, and databases. For high-dimensional datasets, graph-based methods such as HNSW, DiskANN, and NSG have become popular thanks to their empirical accuracy and efficiency. These methods construct a directed graph over the dat…

Cited by 0SourcecodeScholar
2024

Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits

NeurIPS 2024poster

There has been significant recent interest in graph-based nearest neighbor search methods, many of which are centered on the construction of (approximately) "navigable" graphs over high-dimensional point sets. A graph is navigable if we can successfully move from any starting node to any target node…

Cited by 1SourcePDFScholar