Kan Guo
YOU?
Author Swipe
View article: Effects of novel two-stage aging treatment on the mechanical and corrosion properties of Al-Zn-Mg-Cu-(Si) alloys
Effects of novel two-stage aging treatment on the mechanical and corrosion properties of Al-Zn-Mg-Cu-(Si) alloys Open
View article: Contrastive learning for traffic flow forecasting based on multi graph convolution network
Contrastive learning for traffic flow forecasting based on multi graph convolution network Open
Contrastive learning is an increasingly important research direction and has attracted considerable attention in the field of computer vision. It can greatly improve the representativeness of image features through data augmentation, unsup…
View article: Graph transformer based dynamic multiple graph convolution networks for traffic flow forecasting
Graph transformer based dynamic multiple graph convolution networks for traffic flow forecasting Open
Traffic prediction is an important part of intelligent transportation system. Recently, graph convolution network (GCN) is introduced for traffic flow forecasting and achieves good performance due to its superiority of representing the gra…
View article: Effect of Er and Si Co-Microalloying on Mechanical Properties and Microstructures of Alcumg Alloys
Effect of Er and Si Co-Microalloying on Mechanical Properties and Microstructures of Alcumg Alloys Open
View article: Contrastive Learning for Traffic Flow Forecasting Based on Multi Graph Convolution Network
Contrastive Learning for Traffic Flow Forecasting Based on Multi Graph Convolution Network Open
View article: Contrastive Optimized Graph Convolution Network for Traffic Forecasting
Contrastive Optimized Graph Convolution Network for Traffic Forecasting Open
View article: The Synergistic Effect of Er & Si on Enhanced Igc Resistance of Peak-Aged Alznmgcu Alloy
The Synergistic Effect of Er & Si on Enhanced Igc Resistance of Peak-Aged Alznmgcu Alloy Open
View article: Bridging Heterogeneous Gap: A Poi Correlation Learning Graph Convolution Network for Traffic Forecasting
Bridging Heterogeneous Gap: A Poi Correlation Learning Graph Convolution Network for Traffic Forecasting Open
View article: Hierarchical Graph Convolution Network for Traffic Forecasting
Hierarchical Graph Convolution Network for Traffic Forecasting Open
Traffic forecasting is attracting considerable interest due to its widespread application in intelligent transportation systems. Given the complex and dynamic traffic data, many methods focus on how to establish a spatial-temporal model to…