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Learning on topological surface and geometric structure for 3D molecular generation., , , , , , , , , and 5 other author(s). Nat. Comput. Sci., 3 (10): 849-859 (2023)异构存储感知的Ceph存储系统数据放置方法 (Heterogeneous Storage Aware Data Placement of Ceph Storage System)., , , , , and . 计算机科学, 44 (6): 17-22 (2017)NapFS: A High-Performance NUMA-Aware PM File System., , and . ICCD, page 593-601. IEEE, (2022)Exploiting Program Semantics to Place Data in Hybrid Memory., , , , and . PACT, page 163-173. IEEE Computer Society, (2015)Exploring Opportunities for Non-volatile Memories in Big Data Applications., , , and . BPOE@ASPLOS/VLDB, volume 8807 of Lecture Notes in Computer Science, page 209-220. Springer, (2014)Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models., , , , , , , , , and . J. Cheminformatics, 13 (1): 12 (2021)Using Vectorized Execution to Improve SQL Query Performance on Spark., , and . ICPP, page 57:1-57:11. ACM, (2021)DeepChargePredictor: a web server for predicting QM-based atomic charges via state-of-the-art machine-learning algorithms., , , , , , , , and . Bioinform., 37 (22): 4255-4257 (November 2021)Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning., , , , , , , , and . Briefings Bioinform., (2022)SrSpark: Skew-resilient Spark based on Adaptive Parallel Processing., , and . ICPADS, page 466-475. IEEE, (2020)