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Disambiguation of "Zhang, Tiangang"

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Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target Interactions.

, , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (1): 455-464 (2022)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)

Shuying Zhang

Yan Zhang

Gang Zhang

 

Other publications of authors with the same name

Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction., , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (2): 1480-1491 (March 2023)Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural Network., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (4): 2294-2304 (2022)Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations., , , , and . IEEE J. Biomed. Health Informatics, 25 (5): 1793-1804 (2021)Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation., , , , , , , , , and 1 other author(s). Comput. Methods Programs Biomed., (2022)Drug repositioning through integration of prior knowledge and projections of drugs and diseases., , , , , and . Bioinform., 35 (20): 4108-4119 (2019)Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (5): 2963-2974 (2022)Inferring Disease-Associated microRNAs in Heterogeneous Networks with Node Attributes., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 17 (3): 1019-1031 (2020)Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction., , , , , and . Briefings Bioinform., (2022)multi-type neighbors enhanced global topology and pairwise attribute learning for drug-protein interaction prediction., , , , , and . Briefings Bioinform., (2022)ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction., , , , and . Briefings Bioinform., (2022)