Sep 7, 2023 · To address this issue, we proposed an enhanced adaptive graph convolutional network (EA-GCN) for long-term fine-grained SST prediction. First, ...
Oct 22, 2024 · To address this issue, we proposed an enhanced adaptive graph convolutional network (EA-GCN) for long-term fine-grained SST prediction. First, ...
Enhanced Adaptive Graph Convolutional Network for Long-Term Fine-Grained SST Prediction. Peng, Han; ;; Jin, Chang; ;; Li, Wengen; ;; Guan, Jihong. Abstract.
We propose a Transformer-Enhanced Adaptive Graph Convolutional Network (TEA-GCN) that alternately learns temporal and spatial correlations in traffic data ...
Missing: SST | Show results with:SST
Aug 23, 2023 · Sea surface temperature (SST) prediction is an important task in monitoring marine environment and forecasting ocean disasters, ...
Sep 13, 2024 · Han Peng , Chang Jin , Wengen Li , Jihong Guan : Enhanced Adaptive Graph Convolutional Network for Long-Term Fine-Grained SST Prediction.
To address this issue, we proposed an enhanced adaptive graph convolutional network (EA-GCN) for long-term fine-grained SST prediction. First, EA-GCN introduces ...
To this end, we propose two adaptive modules for enhancing Graph Convolutional. Network (GCN) with new capabilities: 1) a Node Adaptive Parameter Learning. ( ...
Missing: SST | Show results with:SST
Oct 22, 2020 · To this end, we propose two adaptive modules for enhancing Graph Convolutional. Network (GCN) with new capabilities: 1) a Node Adaptive ...
We propose an attention-based adaptive spatial–temporal graph convolutional network (AAST-GCN), aiming to achieve effective and efficient action representation ...
Missing: SST | Show results with:SST