MLP link prediction models in H5 format

The KG-COVID-19 graph from this Zenodo URL was used: https://zenodo.org/record/4011267/files/kg-covid-19-skipgram-aug-2020.tar.gz To produce these embeddings (Skipgram, 80/20 training/test split, seed=42, 500 epochs max, delta 0.0001) https://zenodo.org/record/4019808/files/SkipGram_80_20_training_test_epoch_500_delta_0.0001_embedding.npy These embeddings were used to train link prediction classifiers using this Jupyter notebook: https://github.com/justaddcoffee/kg_covid_19_drug_analyses/blob/master/Link%20prediction.ipynb SkipGram_weightedL2_finalized_model.h5 SkipGram_weightedL2.csv SkipGram_weightedL1_finalized_model.h5 SkipGram_weightedL1.csv SkipGram_hadamard_finalized_model.h5 SkipGram_hadamard.csv SkipGram_average_finalized_model.h5 SkipGram_average.csv all_reports.csv本研究使用了以下Zenodo链接提供的KG-COVID-19图谱：https://zenodo.org/record/4011267/files/kg-covid-19-skipgram-aug-2020.tar.gz。为生成本次实验所用的嵌入向量（跳元模型（Skipgram），训练集与测试集划分比例为80/20，随机种子设为42，最大训练轮次为500，delta值为0.0001），我们采用了该Zenodo链接下的资源：https://zenodo.org/record/4019808/files/SkipGram_80_20_training_test_epoch_500_delta_0.0001_embedding.npy。上述嵌入向量被用于训练链路预测分类器，所用的Jupyter Notebook开源地址为：https://github.com/justaddcoffee/kg_covid_19_drug_analyses/blob/master/Link%20prediction.ipynb。本次实验涉及的相关文件包括：SkipGram_weightedL2_finalized_model.h5、SkipGram_weightedL2.csv、SkipGram_weightedL1_finalized_model.h5、SkipGram_weightedL1.csv、SkipGram_hadamard_finalized_model.h5、SkipGram_hadamard.csv、SkipGram_average_finalized_model.h5、SkipGram_average.csv、all_reports.csv。