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GraphConvLSTM: Spatiotemporal Learning for Activity Recognition with Wearable Sensors.

, , , , and . GLOBECOM, page 1-6. IEEE, (2019)

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Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks., , , , and . CoRR, (2020)GraphConvLSTM: Spatiotemporal Learning for Activity Recognition with Wearable Sensors., , , , and . GLOBECOM, page 1-6. IEEE, (2019)Urban Foundation Models: A Survey., , , , , and . KDD, page 6633-6643. ACM, (2024)Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing., , , , and . KDD, page 2471-2481. ACM, (2022)HAR-Net: Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition., and . CoRR, (2018)Cross-City Traffic Prediction via Semantic-Fused Hierarchical Graph Transfer Learning., , , and . CoRR, (2023)iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation., , , , , , and . KDD, page 4100-4111. ACM, (2023)Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network., , , , , , and . CoRR, (2023)Machine Learning for Urban Air Quality Analytics: A Survey., , , and . CoRR, (2023)Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network., , , and . IEEE Trans. Knowl. Data Eng., 35 (5): 5230-5243 (May 2023)