Similarity Search with Graph Index on Directed Social Network Embedding-Reference-Cited by-同舟云学术

Similarity Search with Graph Index on Directed Social Network Embedding

Published:2022 Issue: Volume: Page:82-97
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Qi Zhiwei,Yue Kun^ORCID,Duan Liang,Liang Zhihong

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-09917-5_6

Reference18 articles.

1. Chen, G., Xu, C., Wang, J., Feng, J., Feng, J.: Nonnegative matrix factorization for link prediction in directed complex networks using PageRank and asymmetric link clustering information. Expert Syst. Appl. 148, 113290 (2020)

2. Dong, W., Charikar, M., Li, K.: Efficient k-nearest neighbor graph construction for generic similarity measures. In: Proceedings of the 20th International Conference on World Wide Web, pp. 577–586 (2011)

3. Fu, C., Wang, C., Cai, D.: High dimensional similarity search with satellite system graph: efficiency, scalability, and unindexed query compatibility. IEEE Trans. Pattern Anal. Mach. Intell., 1 (2021)

4. Fu, C., Xiang, C., Wang, C., Cai, D.: Fast approximate nearest neighbor search with the navigating spreading-out graphs. PVLDB 12(5), 461–474 (2019)

5. Harwood, B., Drummond, T.: FANNG: fast approximate nearest neighbour graphs. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5713–5722 (2016)

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