Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Miningby Xu Yan, Yaoting…
Efficient Training of Deep Neural Operator Networks via Randomized Samplingby Sharmila Karumuri, Lori Graham-Brady, Somdatta…
Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Databy Francis Ndikum Nji, Omar Faruque, Mostafa…
Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Modelby Derek Jollie, Jingmin…
Mobility-GCN: a human mobility-based graph convolutional network for tracking and analyzing the spatial dynamics of…
Spatiotemporal Covariance Neural Networksby Andrea Cavallo, Mohammad Sabbaqi, Elvin IsufiFirst submitted to arxiv on: 16…
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networksby Dingyi Zhuang, Yuheng Bu,…
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networksby Xin Tan, Meng…
Evaluating the Effectiveness of Large Language Models in Representing and Understanding Movement Trajectoriesby Yuhan Ji,…
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning…