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Adaptive filters in Graph Convolutional Neural Networks
Pattern Recognition, 2023 Over the last few years, we have witnessed the availability of an increasing data generated from non-Euclidean domains, which are usually represented as graphs with complex relationships, and Graph Neural Networks (GNN) have gained a high interest ...
Andrea Apicella +2 more
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Graph Neural Networks with Convolutional ARMA Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Filippo Maria Bianchi +2 more
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Combining Graph Convolutional Neural Networks and Label Propagation
ACM Transactions on Information Systems, 2022Hongwei Wang, Jure Leskovec
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Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Mohammad Sabbaqi, Elvin Isufi
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Short-term residential load forecasting using Graph Convolutional Recurrent Neural Networks
Engineering Applications of Artificial Intelligence, 2022Mohammad Reza Jabbarpour
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EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
IEEE Transactions on Affective Computing, 2020Tengfei Song +2 more
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EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM
Applied Soft Computing Journal, 2021Yongqiang Yin +2 more
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