Urban spatio-temporal prediction is crucial for informed decision-making, such as traffic
management, resource optimization, and emergence response. Despite remarkable …

With the increasing demands of training graph neural networks (GNNs) on large-scale
graphs, graph data condensation has emerged as a critical technique to relieve the storage …

Time series data has been demonstrated to be crucial in various research fields. The
management of large quantities of time series data presents challenges in terms of deep …