The following publications are possibly variants of this publication:
- Deep Inductive Matrix Completion for Biomedical Interaction PredictionHaohan Wang, Yibing Wei, Mengxin Cao, Ming Xu 0008, Wei Wu, Eric P. Xing. bibm 2019: 520-527 [doi]
- Neighborhood Constraint Matrix Completion for Drug-Target Interaction PredictionXin Fan, Yuxiang Hong, Xiaohu Liu, Yaogong Zhang, Maoqiang Xie. pakdd 2018: 348-360 [doi]
- Inductive Matrix Completion Based on Graph Neural NetworksMuhan Zhang, Yixin Chen. iclr 2020: [doi]
- Predicting human microbe-disease associations via graph attention networks with inductive matrix completionYahui Long, Jiawei Luo, Yu Zhang, Yan Xia. bib, 22(3), 2021. [doi]
- Identifying drug-target interactions via heterogeneous graph attention networks combined with cross-modal similaritiesLu Jiang 0007, Jiahao Sun, Yue Wang, Qiao Ning, Na Luo, Minghao Yin. bib, 23(2), 2022. [doi]
- LncRNA-Disease Association Prediction Based on Graph Neural Networks and Inductive Matrix CompletionLin Yuan, Jing Zhao, Tao Sun, Xuesong Jiang, Zhen-Yu Yang, Xin Gang Wang, Yu-Shui Geng. icic 2020: 262-269 [doi]
- Neural inductive matrix completion with graph convolutional networks for miRNA-disease association predictionJin Li, Sai Zhang, Tao Liu, Chenxi Ning, Zhuoxuan Zhang, Wei Zhou. bioinformatics, 36(8):2538-2546, 2020. [doi]
- Drug-Target Affinity Prediction Based on Self-attention Graph Pooling and Mutual Interaction Neural NetworkXizi Wang, Jing Hu, Xiaolong Zhang. icic 2023: 776-790 [doi]