K-reach

Author:

Cheng James1,Shang Zechao2,Cheng Hong2,Wang Haixun3,Yu Jeffrey Xu2

Affiliation:

1. Nanyang Technological University, Singapore

2. The Chinese University of Hong Kong

3. Microsoft Research Asia, Beijing, China

Abstract

We study the problem of answering k -hop reachability queries in a directed graph, i.e., whether there exists a directed path of length k , from a source query vertex to a target query vertex in the input graph. The problem of k -hop reachability is a general problem of the classic reachability (where k = ∞). Existing indexes for processing classic reachability queries, as well as for processing shortest path queries, are not applicable or not efficient for processing k -hop reachability queries. We propose an index for processing k -hop reachability queries, which is simple in design and efficient to construct. Our experimental results on a wide range of real datasets show that our index is more efficient than the state-of-the-art indexes even for processing classic reachability queries, for which these indexes are primarily designed. We also show that our index is efficient in answering k -hop reachability queries.

Publisher

VLDB Endowment

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Cited by 33 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fast Query Answering by Labeling Index on Uncertain Graphs;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. Enabling Privacy-Preserving K-Hop Reachability Query Over Encrypted Graphs;IEEE Transactions on Services Computing;2024-05

3. Hypergraph-based locality-enhancing methods for graph operations in Big Data applications;The International Journal of High Performance Computing Applications;2023-11-20

4. Towards Generating Hop-constrained s-t Simple Path Graphs;Proceedings of the ACM on Management of Data;2023-05-26

5. Efficient Processing of k-Hop Reachability Queries on Directed Graphs;Applied Sciences;2023-03-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3