Randomized Graph Algorithms
Randomized Graph Algorithms is a class of graph algorithms that incorporate randomness into their decision-making processes to achieve improved average-case performance, simplicity, or scalability in solving graph-theoretic problems.
748
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39K
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1.2K
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500
Institutions
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2017–2026
127
748
Noga Alon, Raphael Yuster, Uri Zwick · Journal of the ACM · 1995 · 1K citations · Full text
Dahlia Malkhi, Moni Naor, David Ratajczak · 2002 · 639 citations
A New Algorithm for Generating All the Maximal Independent Sets
Shuji Tsukiyama, Mikio Ide, Hiromu Ariyoshi et al. · SIAM Journal on Computing · 1977 · 615 citations
Rigidity, computation, and randomization in network localization
Tolga Eren, O.K. Goldenberg, Walter Whiteley et al. · 2005 · 521 citations
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Tel Aviv University
Tel Aviv, Israel
26 h-index
86 publications
7.7K citations
ETH Zurich
Zurich, Switzerland
22 h-index
51 publications
2.5K citations
Carnegie Mellon University
Pittsburgh, United States
21 h-index
55 publications
2.1K citations
Stanford University
Stanford, United States
20 h-index
51 publications
4K citations

Weizmann Institute of Science
Rehovot, Israel
20 h-index
33 publications
3K citations
Massachusetts Institute of Technology
Cambridge, United States
18 h-index
33 publications
1.2K citations
Microsoft (United States)
Redmond, United States
17 h-index
30 publications
1.2K citations
University of California, Berkeley
Berkeley, United States
14 h-index
23 publications
2.2K citations
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46 publications · 2.9K citations
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39 publications · 2.7K citations
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Repository · 28 publications · 843 citations
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20 publications · 895 citations
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17 publications · 934 citations
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