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DIGRA: A Dynamic Graph Indexing for Approximate Nearest Neighbor Search with Range Filter

Summary: DIGRA introduces a dynamic graph index for range-filtered ANNS on vectors with attributes, addressing update limitations of prior methods. It combines a dynamic multi-way tree, lazy weight-based updates, and integrated ANNS indices to balance query speed, update cost, and indexing overhead for large evolving datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7287
Venue
SIGMOD
Year
2025
Pagerank
4.5163161e-05
Overall Rank
8,424 | 41.40%
DOI
10.1145/3725399

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