E frequency of diverse author names that share the same Orcid ID. It represents Orcid IDs that are present in extra than 1 author name entry, on account of author name variation.Both of those Seclidemstat Autophagy difficulties would be the result of both the processing and parsing tasks, which are pretty frequent for such data sort. Appendix B. Tabulated Outcomes for Ambiguous Node Identification As discussed in Section four.2.two, we argued that the most effective metric for evaluating the task was NDCG. Nonetheless, as quite a few approaches make use of the classical binary classification metrics, we present beneath detailed benefits on the experiments.Appl. Sci. 2021, 11,27 ofTable A1. Overall performance evaluation for AUC score, DCG and F1-score on many datasets for our FONDUE-NDA compared with other baselines. Note that for some datasets using a modest quantity of nodes, we did not perform any contraction for 0.001 because the variety of contracted nodes in this case is extremely small, therefore we replaced the values for those techniques by “-“.Ambiguity Price Strategy fb-sc fb-pp e-mail student lesmis polbooks ppi netscience GrQc CondMat HepTh cm05 cm03 fb-sc fb-pp e-mail student lesmis polbooks ppi netscience GrQc CondMat HepTh cm05 cm03 fb-sc fb-pp e mail student lesmis polbooks ppi netscience GrQc CondMat HepTh cm05 cm03 FONDUENC NDA 0.951 0.871 0.768 0.785 0.833 0.952 0.746 0.933 0.872 0.861 0.853 0.867 0.875 56.843 216.187 16.150 eight.481 3.297 four.415 43.601 9.324 52.236 199.255 93.870 320.094 253.117 0.744 0.476 0.388 0.410 0.571 0.700 0.265 0.595 0.398 0.395 0.397 0.409 0.424 0.793 0.720 0.491 0.555 0.556 0.590 0.559 0.877 0.807 0.837 0.754 0.852 0.851 57.324 198.421 13.644 7.243 2.073 2.746 38.479 8.255 49.072 197.187 87.125 316.111 247.685 0.856 0.327 0.227 0.226 0.297 0.288 0.075 0.517 0.352 0.418 0.279 0.451 0.449 10 CC 0.163 0.744 0.280 0.549 0.366 0.308 0.641 0.807 0.796 0.797 0.780 0.811 0.815 45.767 197.420 12.779 6.196 1.816 two.427 41.609 7.696 48.513 194.376 89.909 310.849 242.945 0.759 0.315 0.190 0.139 0.223 0.260 0.226 0.441 0.322 0.343 0.329 0.366 0.369 MCC950 Inhibitor Degree 0.737 0.724 0.730 0.724 0.757 0.841 0.726 0.805 0.740 0.757 0.743 0.754 0.758 46.226 193.395 14.533 7.105 2.262 3.170 42.611 7.594 46.8 188.157 86.928 299.216 234.606 0.251 0.247 0.277 0.266 0.331 0.284 0.245 0.368 0.251 0.280 0.273 0.267 0.279 FONDUENC NDA 0.968 0.895 0.862 0.878 – 1.000 0.792 0.952 0.890 0.867 0.861 0.889 0.886 8.504 24.629 2.249 0.845 – 1.000 four.504 1.083 6.797 21.936 ten.935 34.507 28.164 0.550 0.188 0.111 0.333 – 1.000 0.079 0.333 0.171 0.089 0.128 0.099 0.124 0.836 0.699 0.587 0.316 – 0.813 0.555 0.821 0.812 0.839 0.746 0.867 0.843 9.709 20.177 1.297 0.698 – 0.310 three.778 0.806 5.041 20.186 8.754 32.485 25.558 0.748 0.092 0.017 0.107 – 0.24 0.007 0.093 0.102 0.094 0.054 0.131 0.127 1 CC 0.517 0.762 0.380 0.708 – 0.327 0.647 0.669 0.785 0.810 0.775 0.815 0.822 6.313 20.028 1.124 0.501 – 0.267 four.086 0.688 four.928 19.841 9.299 32.009 24.903 0.528 0.029 0.006 0.013 – 0.04 0.013 0.053 0.041 0.036 0.062 0.045 0.042 Degree 0.713 0.726 0.736 0.839 – 0.877 0.739 0.842 0.719 0.744 0.733 0.758 0.742 four.695 19.358 1.317 0.548 – 0.318 four.152 0.613 four.676 18.982 eight.829 29.989 23.652 0.065 0.028 0.022 0.04 – 0.12 0.018 0.013 0.041 0.033 0.047 0.026 0.031 FONDUENC NDA 0.989 0.888 – – – – 0.943 – 0.944 0.873 0.902 0.910 0.909 1.738 2.798 – – – 0.414 – 0.639 two.663 1.286 4.871 2.861 0.250 0.045 – – – – 0 – 0 0.095 0.125 0.111 0.037 0.936 0.673 – – – – 0.522 – 0.794 0.840 0.741 0.870 0.818 1.371 2.005 – – – 0.294 – 0.499 two.017 0.796 three.230 two.537 0.300 0.074 – – – – 0.
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