
set_a.zip: benchmark set of 118 small to medium graphs. All graphs are unweighted and in Metis format set_b.zip: subset of Set A, consisting of 69 instances, used as a training set for our models set_b1-20.zip: subset of Set B, consisting of 20 instances with high mean edge label values set_b21-45.zip: subset of Set B, consisting of 25 instances with medium mean edge label values set_b46-69.zip: subset of Set B, consisting of 24 instances with low mean edge label values features_set_b.zip: input features that we used for our models for all graphs of Set B labels_set_b.zip: training edge labels for all graphs of Set B benchmark_results.zip: experimental results for all evaluated graph partitioning algorithms
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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 |
