IEEE

Transfer Learning With Spatial–Temporal Graph Convolutional Network for Traffic Prediction

Abstract: Accurate spatial-temporal traffic modeling and prediction play an important role in intelligent transportation systems (ITS). Recently, various deep learning methods such as graph ...
IEEE

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Abstract: With recent advances in sensing technologies, a myriad of spatio-temporal data has been generated and recorded in smart cities. Forecasting the evolution patterns of spatio-temporal data is ...
GitHub

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

For the artificial intelligence (AI) engineering, 95% of the time and effort is consumed by data related workloads. In order to tackle this challenge, tech giants spend thousands of hours on building ...