Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search | Paper Citation Record

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This paper cites write newline.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search write newline

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This paper cites https://github.com/nmslib/hnswlib, 2019.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search https://github.com/nmslib/hnswlib, 2019

Reference 2

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This paper cites https://github.com/scalablesimilaritysearch/ELPIS, 2022.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search https://github.com/scalablesimilaritysearch/ELPIS, 2022

Reference 3

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This paper cites https://github.com/iliasazizi/GVS, 2025.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search https://github.com/iliasazizi/GVS, 2025

Reference 4

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This paper cites and Ceccarello, M.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search and Ceccarello, M

Reference 5

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This paper cites Ann-benchmarks: A benchmarking tool for approximate nearest neighbor algorithms.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Ann-benchmarks: A benchmarking tool for approximate nearest neighbor algorithms

Reference 6

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Voronoi diagrams and Delaunay triangulations

Reference 7

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This paper cites Elpis: Graph-based similarity search for scalable data science.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Elpis: Graph-based similarity search for scalable data science

Reference 8

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This paper cites Graph-based vector search: An experimental evaluation of the state-of-the-art.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Graph-based vector search: An experimental evaluation of the state-of-the-art

Reference 9

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This paper cites and Lempitsky, V.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search and Lempitsky, V

Reference 10

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search and Babenko, A

Reference 11

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Voronet: A scalable object network based on voronoi tessellations

Reference 12

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This paper cites Peer to peer multidimensional overlays: Approximating complex structures.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Peer to peer multidimensional overlays: Approximating complex structures

Reference 13

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Unresolved cited work

Reference 14

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This paper cites Retrieval-augmented diffusion models.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Retrieval-augmented diffusion models

Reference 15

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search and Palpanas, T

Reference 16

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search and von Luxburg, U

Reference 17

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This paper cites Beyond One Billion Time Series: Indexing and Mining Very Large Time Series Collections With i SAX2+.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Beyond One Billion Time Series: Indexing and Mining Very Large Time Series Collections With i SAX2+

Reference 18

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This paper cites SPTAG: A library for fast approximate nearest neighbor search, 2018.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search SPTAG: A library for fast approximate nearest neighbor search, 2018

Reference 19

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This paper cites Efficient and reliable vector similarity search using asymmetric encoding with nand-flash for many-class few-shot learning.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Efficient and reliable vector similarity search using asymmetric encoding with nand-flash for many-class few-shot learning

Reference 20

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This paper cites An overview of end-to-end entity resolution for big data.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search An overview of end-to-end entity resolution for big data

Reference 21

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This paper cites Diskann: Fast approximate nearest neighbor search on disk.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Diskann: Fast approximate nearest neighbor search on disk

Reference 22

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This paper cites and Freund, Y.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search and Freund, Y

Reference 23

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This paper cites Nns benchmark: Evaluating approximate nearest neighbor search algorithms in high dimensional euclidean space - dpg algorithm.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Nns benchmark: Evaluating approximate nearest neighbor search algorithms in high dimensional euclidean space - dpg algorithm

Reference 24

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Unresolved cited work

Reference 25

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This paper cites P., Friedman, S.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search P., Friedman, S

Reference 26

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This paper cites Kgraph, an open source library for k-nn graph construction and nearest neighbor search.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Kgraph, an open source library for k-nn graph construction and nearest neighbor search

Reference 27

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This paper cites Efficient k-nearest neighbor graph construction for generic similarity measures.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Efficient k-nearest neighbor graph construction for generic similarity measures

Reference 28

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This paper cites Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search

Reference 29

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This paper cites High-dimensional similarity search for scalable data science.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search High-dimensional similarity search for scalable data science

Reference 30

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Hercules Against Data Series Similarity Search

Reference 31

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Algorithms in Combinatorial Geometry

Reference 32

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Unresolved cited work

Reference 33

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Vector approximation based indexing for non-uniform high dimensional data sets

Reference 34

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Reference 35

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Voronoi diagrams and delaunay triangulations

Reference 36

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This paper cites EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph

Reference 37

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Fast approximate nearest neighbor search with the navigating spreading-out graph

Reference 38

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search High dimensional similarity search with satellite system graph: Efficiency, scalability, and unindexed query compatibility

Reference 39

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Unresolved cited work

Reference 40

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Similarity search in high dimensions via hashing

Reference 41

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Data Series Progressive Similarity Search with Probabilistic Quality Guarantees

Reference 42

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search On the Difficulty of Nearest Neighbor Search

Reference 43

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Deep residual learning for image recognition

Reference 44

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Bore: Energy-efficient banded vector similarity search with optimized range encoding for memory-augmented neural network

Reference 45

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Pruned bi-directed k-nearest neighbor graph for proximity search

Reference 46

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Product quantization for nearest neighbor search

Reference 47

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Fast and accurate hashing via iterative nearest neighbors expansion

Reference 48

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Billion-scale similarity search with GPUs

Reference 49

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Local interpretation of nonlinear regression model with k-nearest neighbors

Reference 50

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This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Dense Passage Retrieval for Open-Domain Question Answering

Reference 51

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Reference 52

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Unresolved cited work

Reference 53

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This paper cites Approximate nearest neighbor search on high dimensional data: experiments, analyses, and improvement.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Approximate nearest neighbor search on high dimensional data: experiments, analyses, and improvement

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This paper cites Hvs: Hierarchical graph structure based on voronoi diagrams for solving approximate nearest neighbor search, 2023.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Hvs: Hierarchical graph structure based on voronoi diagrams for solving approximate nearest neighbor search, 2023

Reference 55

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This paper cites Hvs: hierarchical graph structure based on voronoi diagrams for solving approximate nearest neighbor search.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Hvs: hierarchical graph structure based on voronoi diagrams for solving approximate nearest neighbor search

Reference 56

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Unresolved cited work

Reference 57

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Observation 331fbbb8-07c4-46dd-8bdb-208dd959faf6 · outbound

This paper cites Approximate nearest neighbor algorithm based on navigable small world graphs.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Approximate nearest neighbor algorithm based on navigable small world graphs

Reference 58

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Unresolved cited work

Reference 59

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This paper cites D., Shen, Z., Blelloch, G., Dhulipala, L., Gu, Y., Simhadri, H.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search D., Shen, Z., Blelloch, G., Dhulipala, L., Gu, Y., Simhadri, H

Reference 60

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Reference 61

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This paper cites and Babenko, A.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search and Babenko, A

Reference 62

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This paper cites V., Gon c alves, M.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search V., Gon c alves, M

Reference 63

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This paper cites and Torralba, A.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search and Torralba, A

Reference 64

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Data series management: The road to big sequence analytics

Reference 65

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search and Beckmann, V

Reference 66

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This paper cites I., Nicholson, A.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search I., Nicholson, A

Reference 67

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Approximate nearest neighbor search small world approach

Reference 68

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Skip lists: a probabilistic alternative to balanced trees

Reference 69

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Observation e4fb21aa-515b-447e-aa3c-0f4f15f3fc78 · outbound

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Reference 70

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This paper cites Imagenet large scale visual recognition challenge.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Imagenet large scale visual recognition challenge

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:11:48.922350Z

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Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:11:48.913472Z

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This paper cites Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search

Reference 73

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Deep billion-scale indexing

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:11:48.904498Z

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Observation a27fccf7-9819-444f-ba82-6ee8c932627f · outbound

This paper cites Large-scale training system for 100-million classification at alibaba.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Large-scale training system for 100-million classification at alibaba

Reference 75

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This paper cites J., Kadekodi, R., Krishaswamy, R., and Simhadri, H.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search J., Kadekodi, R., Krishaswamy, R., and Simhadri, H

Reference 76

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This paper cites On approximately searching for similar word embeddings.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search On approximately searching for similar word embeddings

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:11:48.877649Z

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This paper cites SRS: Solving c-approximate Nearest Neighbor Queries in High Dimensional Euclidean Space with a Tiny Index.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search SRS: Solving c-approximate Nearest Neighbor Queries in High Dimensional Euclidean Space with a Tiny Index

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:11:48.867980Z

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search SRS: solving c-approximate nearest neighbor queries in high dimensional euclidean space with a tiny index

Reference 79

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Quality and efficiency in high dimensional nearest neighbor search

Reference 80

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Reference 81

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Datasets for approximate nearest neighbor search

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:11:48.825768Z

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Reference 83

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Reference 84

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This paper cites Southwest University Adult Lifespan Dataset (SALD).

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Southwest University Adult Lifespan Dataset (SALD)

Reference 85

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Trinary-projection trees for approximate nearest neighbor search

Reference 86

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Reference 87

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Observation 9717fc9b-0c83-43d7-b932-c5374c06ef32 · outbound

This paper cites A comprehensive survey and experimental comparison of graph-based approximate nearest neighbor search.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search A comprehensive survey and experimental comparison of graph-based approximate nearest neighbor search

Reference 88

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search LeaFi: Data Series Indexes on Steroids with Learned Filters

Reference 89

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Reference 90

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces

Reference 91

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This paper cites C., and Giles , C.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search C., and Giles , C

Reference 92

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Ngt: Neighborhood graph and tree for high-dimensional data

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:11:48.701437Z

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Observation c58b239a-b135-4d5c-bd3f-6b69641ad7fc · outbound

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Unresolved cited work

Reference 94

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Observation 36c48279-3b51-4d10-8307-4795970f9531 · outbound

This paper cites Fast knn graph construction with locality sensitive hashing.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Fast knn graph construction with locality sensitive hashing

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:11:48.676374Z

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This paper cites Towards efficient index construction and approximate nearest neighbor search in high-dimensional spaces.

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Towards efficient index construction and approximate nearest neighbor search in high-dimensional spaces

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:11:48.660657Z

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Observation 038fa31d-3787-4258-8d0f-01693586e3fc · outbound

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Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search Generating data series query workloads

Reference 97

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