A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
Abstract: Hypercomplex graph convolutions with higher hypercomplex dimensions can extract more complex features in graphs and features with varying levels of complexity are suited for different ...
Abstract: Many studies have achieved excellent performance in analyzing graph-structured data. However, learning graph-level representations for graph classification is still a challenging task.
EEG-based emotion recognition using graph convolutional neural network with dual attention mechanism
College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China EEG-based emotion recognition is ...
Well, many users are aware of the Graphical and Text-based Multiboot Menu in Windows 11/10 but don’t know the difference between the two. The major difference between the two lies primarily in their ...
The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...
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