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Deep depth-based representations of graphs through deep learning networks., , , and . Neurocomputing, (2019)A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs., , , , and . CoRR, (2019)Fused Lasso for Feature Selection using Structural Information., , and . CoRR, (2019)Timetable synchronization of the last several trains at night in an urban rail transit network., , , and . Eur. J. Oper. Res., 313 (2): 494-512 (March 2024)Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (4): 1808-1822 (April 2023)Deep Co-Investment Network Learning for Financial Assets., , , , , and . ICBK, page 41-48. IEEE Computer Society, (2018)Applying the fuzzy SERVQUAL method to measure the service quality in certification & inspection industry., , , , , , and . Appl. Soft Comput., (2015)Finding Potential Empathizers in an Online Mental Health Community: A Deep Graph Embedding Approach., , , , , , and . ISPA/BDCloud/SocialCom/SustainCom, page 1646-1651. IEEE, (2019)Local-global nested graph kernels using nested complexity traces., , , , , and . Pattern Recognit. Lett., (2020)A combined Weisfeiler-Lehman graph kernel for structured data., , , , , and . Int. J. Wavelets Multiresolution Inf. Process., 16 (5): 1850039:1-1850039:19 (2018)