Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems
Author:
Affiliation:
1. Hunan University, Changsha, China
2. Fudan University, Shanghai, China
3. Huawei Technologies, Shenzhen, China
Funder
NSFC
Science and Technology Major Projects of Changsha City
National Key R\&D Projects
Hunan Provincial Natural Science Foundation of China
Technology Projects of Hunan Province
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3580305.3599419
Reference33 articles.
1. G. Aluç , O. Hartig , M. T. Özsu , and K. Daudjee . Diversified Stress Testing of RDF Data Management Systems . In ISWC , pages 197 -- 212 , Cham , 2014 . Springer International Publishing. G. Aluç, O. Hartig, M. T. Özsu, and K. Daudjee. Diversified Stress Testing of RDF Data Management Systems. In ISWC, pages 197--212, Cham, 2014. Springer International Publishing.
2. Building self-clustering RDF databases using Tunable-LSH
3. Distributed evaluation of subgraph queries using worst-case optimal low-memory dataflows
4. Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions
5. Efficient Subgraph Matching by Postponing Cartesian Products
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