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To address these limitations, we propose a hybrid method named CGEDN based on Graph Neural Networks and learnable node matching. Specifically, CGEDN starts with cross-graph feature aggregation layers, ...
A Spatio-Temporal Tensor Graph Neural Network-Based Method for Node-Link Prediction in Port Networks
Firstly, the model extracts the corresponding spatial features for the port network node links using the graph compression technique and updates the spatial features based on GraphSAGE by sampling and ...
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