
This repo contains all the data to reproduce the results shown in the scientific article "QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest" by Romina Yalovetzky, Niraj Kumar, Changhao Li, and Marco Pistoia. Link to arXiv: https://arxiv.org/abs/2406.12008. We include one Jupyter notebook that shows how to get the figures shown in the paper as well as the results shown in tables. Please refer to the README.md.
| 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 |
