An Extensive Characterization of Graph Sampling Algorithms
Author:
Affiliation:
1. University of Klagenfurt, Klagenfurt, Austria
2. Jozef Stefan Institute, Ljubljana, Slovenia
3. SINTEF, Oslo, Norway
Funder
Horizon Europe research and innovation program of the European Union
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3629527.3652899
Reference29 articles.
1. Sami Abu-El-Haija et al. 2023. SubMix: learning to mix graph sampling heuristics. In Uncertainty in Artificial Intelligence. PMLR.
2. Nesreen K Ahmed et al. 2013. Network sampling: From static to streaming graphs. ACM Transactions on Knowledge Discovery from Data (TKDD) 8 (2013) 1--56.
3. Robustness of graph neural networks at scale;Simon Geisler;Advances in Neural Information Processing Systems,2021
4. Minas Gjoka et al. 2010. Walking in facebook: A case study of unbiased sampling of osns. In 2010 Proceedings IEEE Infocom. Ieee, 1--9.
5. Leo A Goodman. 1961. Snowball sampling. The annals of mathematical statistics (1961), 148--170.
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