# ANN-Papers **Repository Path**: unstructured-data-community/ANN-Papers ## Basic Information - **Project Name**: ANN-Papers - **Description**: Related papers on vector search - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2022-11-21 - **Last Updated**: 2022-11-21 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # ANN-Papers
# Introduction The project is a collection of recent research in areas such as ANN(Approximate Nearest Neighbor) and Vector Database, including research reports, academic papers and datasets etc. 该项目收集了ANN(近似近邻搜索)和向量数据库等领域的最新研究,包括研究报告、学术论文和数据集等。 # Contribution Contributions are always welcome! Make an individual pull request for each suggestion. # Content - [Survey](https://github.com/Unstructured-Data-Community/ANN-Papers#survey) - [Graph based index](https://github.com/Unstructured-Data-Community/ANN-Papers#graph-based-index) - [Query Optimization](https://github.com/Unstructured-Data-Community/ANN-Papers#query-optimization) ## Relevant papers ### Survey [1] **A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search.** VLDB 2022. [paper](https://arxiv.org/pdf/2101.12631v1.pdf) *Mengzhao Wang, Xiaoliang Xu, Qiang Yue, Yuxiang Wang* ### Graph based Index [1] **Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchial Navigable Small World Graphs.** IEEE Transactions on Pattern Analysis and Machine Intelligence 2020. [paper](https://arxiv.org/pdf/1603.09320.pdf) *Yu A. Malkov, D. A. Yashunin* --- [2] **Approximate nearest neighbor algorithm based on navigable small world graphs.** Information Systems Volume 45, September 2014, Pages 61-68. [paper](https://www.sciencedirect.com/science/article/abs/pii/S0306437913001300) *Yury Malkov, Alexander Ponomarenko, Andrey Logvinov, Vladimir Krylov* --- [3] **Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph.** VLDB 2019. [paper](https://arxiv.org/pdf/1707.00143.pdf) *Cong Fu, Chao Xiang, Changxu Wang, Deng Cai* --- [4] **HVS: Hierarchical Graph Structure Based on Voronoi Diagrams for Solving Approximate Nearest Neighbor Search.** VLDB 2022. [paper](http://www.vldb.org/pvldb/vol15/p246-lu.pdf) *K Lu, M Kudo, C Xiao, Y Ishikawa* ___ ### Query Optimization [1] **Learning-based query optimization for multi-probe approximate nearest neighbor search.** VLDB 2022. [paper](https://link.springer.com/content/pdf/10.1007/s00778-022-00762-0.pdf) *Pengcheng Zhang, Bin Yao, Chao Gao, Bin Wu, Xiao He, Feifei Li, Yuanfei Lu, Chaoqun Zhan & Feilong Tang * --- [2] **Learning Space Partitions for Nearest Neighbor Search.** ICLR 2020. [paper](https://arxiv.org/pdf/1901.08544.pdf) *Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner* --- [3] **Improving approximate nearest neighbor search through learned adaptive early termination.** SIGMOD 2020. [paper](https://dl.acm.org/doi/pdf/10.1145/3318464.3380600) *C Li, M Zhang, DG Andersen, Y He* ___ ## Contributors