| Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting | Oct 27, 2020 | ClusteringDeep Learning | —Unverified | 0 |
| A data-driven approach to the forecasting of ground-level ozone concentration | Oct 14, 2020 | Feature Importancefeature selection | —Unverified | 0 |
| Multivariate Time-series Anomaly Detection via Graph Attention Network | Sep 4, 2020 | Anomaly DetectionGraph Attention | CodeCode Available | 1 |
| Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting | Jul 6, 2020 | Graph GenerationGraph Neural Network | CodeCode Available | 1 |
| Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting | May 19, 2020 | Spatio-Temporal Forecasting | —Unverified | 0 |
| A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction | Mar 31, 2020 | Spatio-Temporal ForecastingTime Series | CodeCode Available | 1 |
| Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting | Oct 29, 2019 | parameter estimationSpatio-Temporal Forecasting | CodeCode Available | 0 |
| CGT: Clustered Graph Transformer for Urban Spatio-temporal Prediction | Sep 25, 2019 | DecoderGraph Attention | —Unverified | 0 |
| Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning | Jul 25, 2019 | DecoderDiversity | CodeCode Available | 0 |
| Spatiotemporal Multi-Graph Convolution Networkfor Ride-hailing Demand Forecasting | Jan 20, 2019 | Demand ForecastingSpatio-Temporal Forecasting | CodeCode Available | 1 |
