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Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition.

, , , , , and . ICDM, page 1334-1339. IEEE, (2020)

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CSLSEP: an ensemble pruning algorithm based on clustering soft label and sorting for facial expression recognition., , , , , , and . Multim. Syst., 29 (3): 1463-1479 (June 2023)An ensemble pruning method considering classifiers' interaction based on information theory for facial expression recognition., , , , and . Multim. Syst., 30 (1): 46 (February 2024)Personalized Prompts for Sequential Recommendation., , , , , , and . CoRR, (2022)miRAS: a data processing system for miRNA expression profiling study., , , , , , and . BMC Bioinform., (2007)Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition., , , , , and . ICDM, page 1334-1339. IEEE, (2020)Attacking Pre-trained Recommendation., , , , , , , and . SIGIR, page 1811-1815. ACM, (2023)Correction to: Pairwise dependency-based robust ensemble pruning for facial expression recognition., , , , , and . Multim. Tools Appl., 83 (12): 37119 (April 2024)Selective Fairness in Recommendation via Prompts., , , , , , , and . SIGIR, page 2657-2662. ACM, (2022)Modeling Dual Period-Varying Preferences for Takeaway Recommendation., , , , , , , , , and . KDD, page 5628-5638. ACM, (2023)Multi-view Multi-behavior Contrastive Learning in Recommendation., , , , , , , , and . DASFAA (2), volume 13246 of Lecture Notes in Computer Science, page 166-182. Springer, (2022)