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Identifying Interest Flooding in Named Data Networking., , , and . GreenCom/iThings/CPScom, page 306-310. IEEE, (2013)Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks., , , , and . CoRR, (2019)Bag of Tricks for Image Classification with Convolutional Neural Networks., , , , , and . CVPR, page 558-567. Computer Vision Foundation / IEEE, (2019)ResNeSt: Split-Attention Networks., , , , , , , , , and 2 other author(s). CoRR, (2020)Integrating multi-omics data through deep learning for accurate cancer prognosis prediction., , , , , and . Comput. Biol. Medicine, (2021)Predicting bladder cancer prognosis by integrating multi-omics data through a transfer learning-based Cox proportional hazards network., , , and . CCF Trans. High Perform. Comput., 3 (3): 311-319 (2021)Megaman: Scalable Manifold Learning in Python., , , and . J. Mach. Learn. Res., (2016)Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks., , , , and . J. Chem. Inf. Model., 60 (1): 47-55 (2020)Bag of Tricks for Image Classification with Convolutional Neural Networks., , , , , and . CoRR, (2018)Multi-omics Cancer Prognosis Analysis Based on Graph Convolution Network., , , and . BIBM, page 1564-1568. IEEE, (2021)