Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting

13 references·1 citing·18 second hopsampled

FromToDepth

this work references cited by second hop· second hop is a sample of the most-cited connections

References

2018Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting6,048 cited
2019Graph WaveNet for Deep Spatial-Temporal Graph Modeling3,706 cited
2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 cited
2019T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction3,527 cited
2019Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting3,248 cited
2020GMAN: A Graph Multi-Attention Network for Traffic Prediction1,923 cited
2020Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting1,732 cited
2020Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting1,075 cited
2014Big data and its technical challenges1,066 cited
2021Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting799 cited
2020Traffic Flow Prediction via Spatial Temporal Graph Neural Network670 cited
2019Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning621 cited
2022Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution618 cited

Cited by

2023Spatio-Temporal Meta-Graph Learning for Traffic Forecasting

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

358 cited