As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Understanding the benefits of matrix converters for EV chargers and a comparison of different matrix converter topologies.
Abstract: Predicting the electricity consumption of individual appliances, known as appliance-level energy consumption (ALEC) prediction, is essential for effective energy management and conservation.
Impact Statement: When utilizing graph neural networks, it is often the case that the weight relationships between nodes are not well understood. This is particularly true in the context of using ...
Add a description, image, and links to the adjacency-matrix-graph topic page so that developers can more easily learn about it.
1 College of Computer Science and Engineering, Guilin University of Technology, Guilin, China 2 Guangxi Key Laboratory of Embedded Technology and Intelligent Systems, Guilin University of Technology, ...
JD Vance has climbed to his current position as former President Donald Trump’s running mate, in part, by selling himself as a hillbilly, calling on his Appalachian background to bolster his ...
1 College of Computer and Control Engineering, Qiqihar University, Qiqihar, China 2 Heilongjiang Key Laboratory of Big Data Network Security Detection and Analysis, Qiqihar University, Qiqihar, China ...
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