Embeddings of KG-COVID-19 knowledge graph (Aug 12 build), 80/20 training/test split, produced using node2vec, skipgram model, p=q=1, walk length = 100, num walks = 20

KG-COVID-19 embedding data from Sep 8, 2020 experiment, for training/test split of 80/20: These embeddings and weights were produced from this notebook on or around Sep 8, 2020: https://github.com/justaddcoffee/kg_covid_19_drug_analyses/blob/master/Graph%20embedding%20using%20SkipGram%20homogeneous%20graph.ipynb SkipGram_80_20_training_test_epoch_500_delta_0.0001_embedding.npy SkipGram_80_20_training_test_epoch_500_delta_0.0001_weights.h5 I'm also including two runs just before this, with different epoch number and delta values: SkipGram_80_20_training_test_embedding_sep_6_2020_epoch_200_delta_0.001.npy SkipGram_80_20_training_test_weights_sep_6_2020_epoch_200_delta_0.001.h5 SkipGram_80_20_training_test_embedding_sep_7_2020_epoch_200_delta_0.0001.npy SkipGram_80_20_training_test_weights_sep_7_2020_epoch_200_delta_0.0001.h5

Impact byBIP!

	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