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Deep depth-based representations of graphs through deep learning networks., , , and . Neurocomputing, (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)Fused Lasso for Feature Selection using Structural Information., , and . CoRR, (2019)A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs., , , , and . CoRR, (2019)Deep Co-Investment Network Learning for Financial Assets., , , , , and . ICBK, page 41-48. IEEE Computer Society, (2018)Local-global nested graph kernels using nested complexity traces., , , , , and . Pattern Recognit. Lett., (2020)Finding Potential Empathizers in an Online Mental Health Community: A Deep Graph Embedding Approach., , , , , , and . ISPA/BDCloud/SocialCom/SustainCom, page 1646-1651. IEEE, (2019)Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation., , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (2): 1747-1760 (2023)Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus., , , , , , , and . IEEE Trans. Knowl. Data Eng., 36 (2): 475-489 (February 2024)