Apr 25, 2022 � In this paper, we propose a novel temporal graph neural network (TGNN) based port classification method to enable vessels to discover gateway ports efficiently.

Abstract. Vessel navigation is influenced by various factors, such as dynamic environmental factors that change over time or static features such as vessel�...

ArticlePDF Available. Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification. May 2022. DOI:10.21428/594757db.a76bcb9d.

A novel temporal graph neural network (TGNN) based port classification method is proposed to enable vessels to discover gateway ports efficiently,�...

Discovering gateway ports in maritime using temporal graph neural network port classification. Authors: D. Altan, M. Etemad, D. Marijan and T. Kholodna.

Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification � no code implementations • 25 Apr 2022 • Dogan Altan, Mohammad�...

: Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification | Vessel navigation is influenced by various factors, such�...

Discovering gateway ports in maritime using temporal graph neural network port classification. 35th Canadian Conference on Artificial Intelligence. Privacy�...

Co-authors ; Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification. D Altan, M Etemad, D Marijan, T Kholodna. Canadian�...

Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification. D Altan, M Etemad, D Marijan, T Kholodna. Canadian Conference�...