A Neural Operator Unifying Graph Neural Networks and Point Transformers
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DOI: 10.1109/access.2025.3585920
Abstract: Neural operators have emerged as a powerful tool for learning mappings between function spaces, particularly for solving partial differential equations (PDEs). This study introduces a novel framework that unifies Graph Neural Networks (GNNs) and Transformers,… read more here.
Keywords: unifying graph; operator; operator unifying; graph neural ... See more keywords
Multiframe Disentangling and Unifying Graph Neural Network for Maritime Radar Target Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2025.3617477
Abstract: Detecting maritime targets with radar in complicated sea conditions is challenging due to the strong sea clutter. To address this problem, we propose a multiframe disentangling and unifying graph neural network. In this method, multiple… read more here.
Keywords: detection; unifying graph; multiframe disentangling; radar ... See more keywords