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Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network.

, , , , and . SIGIR, page 2612-2616. ACM, (2022)

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