A Survey of Large Graph Sampling Techniques
Author:
Publisher
China Science Publishing & Media Ltd.
Subject
Computer Graphics and Computer-Aided Design,Software
Link
https://engine.scichina.com/doi/pdf/A948A2EDA25E4394AB183EF3B908F30E
Reference54 articles.
1. Leskovec J, Faloutsos C. Sampling from large graphs[C] //Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery, 2006: 631-636.
2. Hu P L, Lau W C. A survey and taxonomy of graph sampling[OL]. [2021-11-12]. https://arxiv.org/abs/1308.5865.
3. Yoon S H, Kim K N, Hong J. A community-based sampling method using DPL for online social networks. Information Sciences, 2015, 306: 53-69.
4. Zhou Z G, Shi C, Shen X L. Context-aware sampling of large networks via graph representation learning. IEEE Transactions on Visualization and Computer Graphics, 2020, 27: 1709-1719.
5. Karger D R. Random sampling in cut, flow, and network design problems. Mathematics of Operations Research, 1999, 24: 383-413.
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