Weight Matters: An Empirical Investigation of Distance Oracles on Knowledge Graphs

Author:

Zhang Ke1ORCID,Chen Jiageng1ORCID,Huang Zixian1ORCID,Cheng Gong1ORCID

Affiliation:

1. Nanjing University, Nanjing, China

Funder

NSFC

Publisher

ACM

Reference31 articles.

1. Fast Shortest-path Distance Queries on Road Networks by Pruned Highway Labeling

2. Fast exact shortest-path distance queries on large networks by pruned landmark labeling

3. Haris Angelidakis , Yury Makarychev , and Vsevolod Oparin . 2017 . Algorithmic and Hardness Results for the Hub Labeling Problem. In SODA 2017 . 1442--1461. https://doi.org/10.1137/1.9781611974782.94 10.1137/1.9781611974782.94 Haris Angelidakis, Yury Makarychev, and Vsevolod Oparin. 2017. Algorithmic and Hardness Results for the Hub Labeling Problem. In SODA 2017. 1442--1461. https://doi.org/10.1137/1.9781611974782.94

4. Generating Compact and Relaxable Answers to Keyword Queries over Knowledge Graphs

5. Fast Algorithms for Semantic Association Search and Pattern Mining

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