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Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks., , , , , и . IEEE Trans. Knowl. Data Eng., 34 (5): 2348-2359 (2022)Fine-Grained Urban Flow Inference., , , , , , и . IEEE Trans. Knowl. Data Eng., 34 (6): 2755-2770 (2022)BiVRec: Bidirectional View-based Multimodal Sequential Recommendation., , , , , , , , и . CoRR, (2024)Directed Graph Convolutional Network., , , , и . CoRR, (2020)Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach., , , , , и . CoRR, (2023)Phase function estimation from a diffuse optical image via deep learning., , , , , и . CoRR, (2021)Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification., , , , , и . CoRR, (2024)DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting., , , , , , , и . CoRR, (2024)Mixup for Node and Graph Classification., , , , и . WWW, стр. 3663-3674. ACM / IW3C2, (2021)AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱., , , , , , и . WWW, стр. 1846-1855. ACM / IW3C2, (2021)