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A Workflow Interoperability Approach Based on Blockchain., , , и . IOV, том 11894 из Lecture Notes in Computer Science, стр. 303-317. Springer, (2019)NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition., , , , и . IEEE Trans. Veh. Technol., 70 (3): 2138-2152 (2021)DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting., , , , и . CoRR, (2021)STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting., , , , и . CoRR, (2021)Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey., , , , , и . CoRR, (2023)Constrained Market Share Maximization by Signal-Guided Optimization., , , , и . AAAI, стр. 4330-4338. AAAI Press, (2023)User Behavior Retrieval for Click-Through Rate Prediction., , , , , и . SIGIR, стр. 2347-2356. ACM, (2020)Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction., , , , , , , , , и 1 other автор(ы). SIGIR, стр. 565-574. ACM, (2019)When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks., , , , , , и . ICDE, стр. 517-529. IEEE, (2023)STWave$^+$+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting., , , , и . IEEE Trans. Knowl. Data Eng., 36 (6): 2671-2685 (июня 2024)