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Benchmarks used for the paper Johannes K. Fichte, Markus Hecher, Stefan Woltran, Markus Hecher: Weighted Model Counting on the GPU by Exploiting Small Treewidth, Proceedings of the 26th Annual European Symposium on Algorithms (ESA'2018). For details we refer to the original sources of the benchmarks (https://tinyurl.com/countingbenchmarks), which contains benchmarks from the following sources: ApproxMC(165 Instances): https://www.cs.rice.edu/CS/Verification/Projects/ApproxMC/ C2D(14 Instances): http://reasoning.cs.ucla.edu/c2d/results.html Cachet(1090 Instances): https://www.cs.rochester.edu/u/kautz/Cachet/ModelCountingBenchmarks/index.html counting-benchmarks(1451 Instances): https://github.com/dfremont/counting-benchmarks
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 3 |

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