Awesome Survey Paper

Key papers

• Distance And Similarity Measures Effect On The Performance Of K-nearest Neighbor Classifier -- A Review (2017)
  V. B. Surya Prasath, Haneen Arafat Abu Alfeilat, Ahmad B. A. Hassanat, et al.
  20.24
• A Comprehensive Survey And Experimental Comparison Of Graph-based Approximate Nearest Neighbor Search (2021)
  Mengzhao Wang, Xiaoliang Xu, Qiang Yue, et al.
  17.35
• Vector Database Management Systems: Fundamental Concepts, Use-cases, And Current Challenges (2023)
  Toni Taipalus
  14.23
• A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge (2023)
  Le Ma et al.
  13.32
• A Multi-modal Neural Embeddings Approach For Detecting Mobile Counterfeit Apps: A Case Study On Google Play Store (2020)
  Naveen Karunanayake, Jathushan Rajasegaran, Ashanie Gunathillake, et al.
  7.81
• Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art (2025)
  Ilias Azizi et al.
  7.77
• Exploring The Meaningfulness Of Nearest Neighbor Search In High-dimensional Space (2024)
  Zhonghan Chen, Ruiyuan Zhang, Xi Zhao, et al.
  2.26
• Dimensionality-Reduction Techniques for Approximate Nearest Neighbor Search: A Survey and Evaluation (2024)
  Zeyu Wang et al.
  2.10
• Can You Trust the Vectors in Your Vector Database? Black-Hole Attack from Embedding Space Defects (2026)
  Hanxi Li et al.
  1.89
• GPU-Accelerated Algorithms for Graph Vector Search: Taxonomy, Empirical Study, and Research Directions (2026)
  Yaowen Liu et al.
  1.78
• Vector Search for the Future: From Memory-Resident, Static Heterogeneous Storage, to Cloud-Native Architectures (2026)
  Yitong Song et al.
  1.72
• Vextra: A Unified Middleware Abstraction for Heterogeneous Vector Database Systems (2026)
  Chandan Suri et al.
  1.72
• A Survey on Deep Text Hashing: Efficient Semantic Text Retrieval with Binary Representation (2025)
  Liyang He et al.
  1.56
• Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data (2025)
  Yanjun Lin et al.
  1.28
• Analytics Modelling over Multiple Datasets using Vector Embeddings (2025)
  Andreas Loizou and Dimitrios Tsoumakos
  1.11
• Orthogonal Matrices For MBAT Vector Symbolic Architectures, And A "soft" VSA Representation For JSON (2022)
  Stephen I. Gallant
  0.00
• On Background Bias In Deep Metric Learning (2022)
  Konstantin Kobs, Andreas Hotho
  0.00
• When Similarity Digest Meets Vector Management System: A Survey On Similarity Hash Function (2021)
  Zhushou Tang, Lingyi Tang, Keying Tang, et al.
  0.00
• A Survey On Efficient Processing Of Similarity Queries Over Neural Embeddings (2022)
  Yifan Wang
  0.00
• Dimensionality-reduction Techniques For Approximate Nearest Neighbor Search: A Survey And Evaluation (2024)
  Zeyu Wang, Haoran Xiong, Qitong Wang, et al.
  0.00
• A Survey on Learning to Hash (2016)
  Jingdong Wang et al.
  —
• Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0) (2016)
  Wen Li et al.
  —
• Approximate Nearest Neighbor Search in High Dimensions (2018)
  Alexandr Andoni et al.
  —
• Implementation Notes for the Soft Cosine Measure (2018)
  V\'it Novotn\'y (1) ((1) Faculty of Informatics et al.
  —
• A Fast Text Similarity Measure for Large Document Collections using Multi-reference Cosine and Genetic Algorithm (2018)
  Hamid Mohammadi et al.
  —
• A Similarity Measure for Weaving Patterns in Textiles (2018)
  Sven Helmer and Vuong M. Ngo
  —
• A Review for Weighted MinHash Algorithms (2018)
  Wei Wu et al.
  —
• Multi-Frequency Vector Diffusion Maps (2019)
  Yifeng Fan and Zhizhen Zhao
  —
• Soccer Team Vectors (2019)
  Robert M\"uller et al.
  —
• Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features (2019)
  Rahim Taheri et al.
  —
• Finding the most similar textual documents using Case-Based Reasoning (2019)
  Marko Mihajlovic et al.
  —
• A Survey on Deep Hashing Methods (2020)
  Xiao Luo et al.
  —
• Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives (2020)
  Gencer Sumbul et al.
  —
• Indexing Metric Spaces for Exact Similarity Search (2020)
  Lu Chen et al.
  —
• A survey on deep hashing for image retrieval (2020)
  Xiaopeng Zhang
  —
• Experimental Analysis of Locality Sensitive Hashing Techniques for High-Dimensional Approximate Nearest Neighbor Searches (2020)
  Omid Jafari et al.
  —
• Document Similarity from Vector Space Densities (2020)
  Ilia Rushkin
  —
• A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search (2021)
  Mengzhao Wang and Xiaoliang Xu and Qiang Yue and Yuxiang Wang
  —
• A Survey on Locality Sensitive Hashing Algorithms and their Applications (2021)
  Omid Jafari et al.
  —
• State of the Art: Image Hashing (2021)
  Rubel Biswas and Pablo Blanco-Medina
  —
• When Similarity Digest Meets Vector Management System: A Survey on Similarity Hash Function (2021)
  Zhushou Tang et al.
  —
• Orthogonal Matrices for MBAT Vector Symbolic Architectures, and a "Soft" VSA Representation for JSON (2022)
  Stephen I. Gallant
  —
• A Survey on Efficient Processing of Similarity Queries over Neural Embeddings (2022)
  Yifan Wang
  —
• Method for Determining the Similarity of Text Documents for the Kazakh language, Taking Into Account Synonyms: Extension to TF-IDF (2022)
  Bakhyt Bakiyev
  —
• Description-Based Text Similarity (2023)
  Shauli Ravfogel et al.
  —
• Semantic Equivalence of e-Commerce Queries (2023)
  Aritra Mandal et al.
  —
• Survey of Vector Database Management Systems (2023)
  James Jie Pan et al.
  —
• Foundations of Vector Retrieval (2024)
  Sebastian Bruch
  —
• The Impacts of Data, Ordering, and Intrinsic Dimensionality on Recall in Hierarchical Navigable Small Worlds (2024)
  Owen Pendrigh Elliott et al.
  —
• Learning to Hash for Recommendation: A Survey (2024)
  Fangyuan Luo et al.
  —