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Deep depth-based representations of graphs through deep learning networks., , , и . Neurocomputing, (2019)A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs., , , , и . CoRR, (2019)Fused Lasso for Feature Selection using Structural Information., , и . CoRR, (2019)Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis., , , , , и . IEEE Trans. Neural Networks Learn. Syst., 34 (4): 1808-1822 (апреля 2023)Timetable synchronization of the last several trains at night in an urban rail transit network., , , и . Eur. J. Oper. Res., 313 (2): 494-512 (марта 2024)Deep Co-Investment Network Learning for Financial Assets., , , , , и . ICBK, стр. 41-48. IEEE Computer Society, (2018)Local-global nested graph kernels using nested complexity traces., , , , , и . Pattern Recognit. Lett., (2020)Applying the fuzzy SERVQUAL method to measure the service quality in certification & inspection industry., , , , , , и . Appl. Soft Comput., (2015)Finding Potential Empathizers in an Online Mental Health Community: A Deep Graph Embedding Approach., , , , , , и . ISPA/BDCloud/SocialCom/SustainCom, стр. 1646-1651. IEEE, (2019)BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation., , , , , и . Pattern Recognit., (декабря 2023)