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2024	GDilatedDTA: Graph dilation convolution strategy for drug target binding affinity prediction Biomedical Signal Processing and Control Longxin Zhang, Wenliang Zeng, Jingsheng Chen, Jianguo Chen, Keqin Li
2024	Possible Drug Repurposing and Accelerated Wound Healing Regenerative Engineering and Translational Medicine Aakash Kumar S, Snehal S Patel
2024	Neural multi-task learning in drug design Nature Machine Intelligence Stephan Allenspach, Jan A. Hiss, Gisbert Schneider
2024	A Survey on Recommender Systems using Graph Neural Network ACM Transactions on Information Systems Vineeta Anand, Ashish Kumar Maurya
2024	Eliminating bias: enhancing children’s book recommendation using a hybrid model of graph convolutional networks and neural matrix factorization PeerJ Computer Science Lijuan Shen, Liping Jiang
2023	Network Learning for Biomarker Discovery International Journal of Network Dynamics and Intelligence Yulian Ding, Minghan Fu, Ping Luo, Fang-Xiang Wu
2023	Open-Source Machine Learning in Computational Chemistry Journal of Chemical Information and Modeling Alexander Hagg, Karl N. Kirschner
2023	Pharmacophoric-constrained heterogeneous graph transformer model for molecular property prediction Communications Chemistry Yinghui Jiang, Shuting Jin, Xurui Jin, Xianglu Xiao, Wenfan Wu, Xiangrong Liu, Qiang Zhang, Xiangxiang Zeng, Guang Yang, Zhangming Niu
2023	Lecture Notes in Networks and Systems Lim Khai Sian, J. Joshua Thomas
2022	Toward brain organoid-based precision medicine in neurodegenerative diseases Organoid Jong-Chan Park, Inhee Mook-Jung
2022	GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery BMC Bioinformatics Shaofu Lin, Chengyu Shi, Jianhui Chen
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