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AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction., , , , , and . Artif. Intell., (May 2023)The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field., , , , , , , , and . CoRR, (2023)Spatio-Temporal Graph Contrastive Learning., , , , and . CoRR, (2021)Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning., , , , and . CoRR, (2023)Revisiting Convolutional Neural Networks for Urban Flow Analytics., , , , and . CoRR, (2020)Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment., , , , , , and . CoRR, (2023)Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook., , , , , , , , , and 5 other author(s). CoRR, (2023)Contrastive Trajectory Similarity Learning with Dual-Feature Attention., , , and . CoRR, (2022)VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM., , , , , , and . CoRR, (2022)Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model., , , , , , and . CoRR, (2023)