Drug repositioning based on residual attention network and free multiscale adversarial training by Guanghui Li, Shuwen Li, Cheng Liang, Qiu Xiao, Jiawei Luo

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SCDRHA: A scRNA-Seq Data Dimensionality Reduction Algorithm Based on Hierarchical Autoencoder by Jianping Zhao, Na Wang, Haiyun Wang, Chunhou Zheng, Yansen Su

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The effectiveness of intervention measures on MERS-CoV transmission by using the contact networks reconstructed from link prediction data by Eunmi Kim, Yunhwan Kim, Hyeonseong Jin, Yeonju Lee, Hyosun Lee, Sunmi Lee

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Predicting microbe–disease association based on graph autoencoder and inductive matrix completion with multi-similarities fusion by Kai Shi, Kai Shi, Kai Huang, Lin Li, Qiaohui Liu, Yi Zhang, Huilin Zheng

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Predicting miRNA-Disease Association Based on Neural Inductive Matrix Completion with Graph Autoencoders and Self-Attention Mechanism by Chen Jin, Zhuangwei Shi, Ken Lin, Han Zhang

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DAGOR: Learning DAGs via Topological Sorts and QR Factorization by Hao Zuo, Jinshen Jiang, Yun Zhou

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Fusion of multi-source relationships and topology to infer lncRNA-protein interactions by Xinyu Zhang, Mingzhe Liu, Zhen Li, Linlin Zhuo, Xiangzheng Fu, Quan Zou

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Predicting abiotic stress-responsive miRNA in plants based on multi-source features fusion and graph neural network by Liming Chang, Xiu Jin, Yuan Rao, Xiaodan Zhang

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Interpretable Variational Graph Autoencoder with Noninformative Prior by Lili Sun, Xueyan Liu, Min Zhao, Bo Yang

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Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability by Shahriar Rahman Fahim, Rachad Atat, Cihat Kececi, Abdulrahman Takiddin, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin

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VGAEDTI: drug-target interaction prediction based on variational inference and graph autoencoder by Yuanyuan Zhang, Yinfei Feng, Mengjie Wu, Zengqian Deng, Shudong Wang

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CDA-SKAG: Predicting circRNA-disease associations using similarity kernel fusion and an attention-enhancing graph autoencoder by Huiqing Wang, Jiale Han, Haolin Li, Liguo Duan, Zhihao Liu, Hao Cheng

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Spatiotemporal Graph Autoencoder Network for Skeleton-Based Human Action Recognition by Hosam Abduljalil, Ahmed Elhayek, Abdullah Marish Ali, Fawaz Alsolami

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WDCIP: spatio-temporal AI-driven disease control intelligent platform for combating COVID-19 pandemic by Siqi Wang, Xiaoxiao Zhao, Jingyu Qiu, Haofen Wang, Chuang Tao

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Accurate identification of snoRNA targets using variational graph autoencoder to advance the redevelopment of traditional medicines by Zhina Wang, Zhina Wang, Yangyuan Chen, Hongming Ma, Hongming Ma, Hong Gao, Hong Gao, Yangbin Zhu, Hongwu Wang, Nan Zhang, Nan Zhang

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scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data by Eric Lin, Boyuan Liu, Leann Lac, Daryl L X Fung, Carson K Leung, Pingzhao Hu

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A Relationship Prediction Method for <i>Magnaporthe oryzae</i>–Rice Multi-Omics Data Based on WGCNA and Graph Autoencoder by Enshuang Zhao, Liyan Dong, Hengyi Zhao, Hao Zhang, Tianyue Zhang, Shuai Yuan, Jiao Jiao, Kang Chen, Jianhua Sheng, Hongbo Yang, Pengyu Wang, Guihua Li, Qingming Qin

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MKAN-MMI: empowering traditional medicine-microbe interaction prediction with masked graph autoencoders and KANs by Sheng Ye, Sheng Ye, Jue Wang, Mingmin Zhu, Sisi Yuan, Linlin Zhuo, Tiancong Chen, Jinjian Gao

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Community Detection Using Deep Learning: Combining Variational Graph Autoencoders with Leiden and K-Truss Techniques by Jyotika Hariom Patil, Petros Potikas, William B. Andreopoulos, Katerina Potika

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Deep clustering representation of spatially resolved transcriptomics data using multi-view variational graph auto-encoders with consensus clustering by Jinyun Niu, Fangfang Zhu, Taosheng Xu, Shunfang Wang, Wenwen Min

Subjects: “…Multi-view variational graph autoencoders…”
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