GSAMDA: a computational model for predicting potential microbe–drug associations based on graph attention network and sparse autoencoder by Yaqin Tan, Juan Zou, Linai Kuang, Xiangyi Wang, Bin Zeng, Zhen Zhang, Lei Wang

Subjects: “…Microbe–drug associations…”
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BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimization by Mingmin Liang, Xianzhi Liu, Juncai Li, Qijia Chen, Bin Zeng, Zhong Wang, Jing Li, Lei Wang

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GACNNMDA: a computational model for predicting potential human microbe-drug associations based on graph attention network and CNN-based classifier by Qing Ma, Yaqin Tan, Lei Wang

Subjects: “…Microbe-drug associations…”
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Microbe-drug association prediction model based on graph convolution and attention networks by Bo Wang, Tongxuan Wang, Xiaoxin Du, Jingwei Li, Junqi Wang, Peilong Wu

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CLMT: graph contrastive learning model for microbe-drug associations prediction with transformer by Liqi Xiao, Junlong Wu, Liu Fan, Lei Wang, Xianyou Zhu, Xianyou Zhu

Subjects: “…microbe-drug association…”
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OGNNMDA: a computational model for microbe-drug association prediction based on ordered message-passing graph neural networks by Jiabao Zhao, Linai Kuang, An Hu, Qi Zhang, Dinghai Yang, Chunxiang Wang

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MDSVDNV: predicting microbe–drug associations by singular value decomposition and Node2vec by Huilin Tan, Zhen Zhang, Xin Liu, Yiming Chen, Zinuo Yang, Lei Wang

Subjects: “…microbe–drug association prediction…”
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Prediction of microbe–drug associations based on a modified graph attention variational autoencoder and random forest by Bo Wang, Bo Wang, Fangjian Ma, Xiaoxin Du, Guangda Zhang, Jingyou Li, Jingyou Li

Subjects: “…microbe–drug association prediction…”
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