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Found 2 papers, 1 papers with code
HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades
In this paper, we propose Hierarchical Temporal Graph Attention Networks for cascade popularity prediction (HierCas), which operates on the entire cascade graph by a dynamic graph modeling approach.
Deep supervision with additional labels for retinal vessel segmentation task
In this way, the network will pay more attention to the boundary areas of vessels and achieve a better performance, especially in tiny vessels detecting.
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