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HeteGraph: graph learning in recommender systems via graph convolutional networks.

, , , , , , , и . Neural Comput. Appl., 35 (18): 13047-13063 (июня 2023)

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Dang-Khoa Do

Dang Khoa Tran

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Robust Outlier Detection Using Commute Time and Eigenspace Embedding., и . PAKDD (2), том 6119 из Lecture Notes in Computer Science, стр. 422-434. Springer, (2010)CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation., , , , и . World Wide Web (WWW), 26 (2): 713-732 (марта 2023)A scalable approach to spectral clustering with SDD solvers., и . J. Intell. Inf. Syst., 44 (2): 289-308 (2015)Let Trajectories Speak Out the Traffic Bottlenecks., , , , и . CoRR, (2021)Deep Autoencoder for Recommender Systems: Parameter Influence Analysis., , , , , и . CoRR, (2019)The Application Of Machine Learning To Paint Condition Assessment Using Hyperspectral Data., , , , , и . WHISPERS, стр. 1-6. IEEE, (2022)Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting., , , и . PAKDD (1), том 12712 из Lecture Notes in Computer Science, стр. 277-289. Springer, (2021)Smart Infrastructure Maintenance Using Incremental Tensor Analysis: Extended Abstract., , и . CIKM, стр. 959-967. ACM, (2017)Incremental Commute Time Using Random Walks and Online Anomaly Detection., и . ECML/PKDD (1), том 9851 из Lecture Notes in Computer Science, стр. 49-64. Springer, (2016)Deep Conversational Recommender Systems: Challenges and Opportunities., , , , , и . Computer, 55 (4): 30-39 (2022)