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03/21/2023
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks
The prompt estimation of traffic incident impacts can guide commuters in...
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07/21/2021
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks
During the past decade, deep learning's performance has been widely reco...
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02/27/2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
The success of deep learning has been widely recognized in many machine ...
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11/20/2019
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction
Critical incident stages identification and reasonable prediction of tra...
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05/22/2019
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
Modeling and forecasting forward citations to a patent is a central task...
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12/05/2017
