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A Comprehensive Survey on Graph Neural Networks [PDF]
Deep learning has revolutionized many machine learning tasks in recent years, ranging from image classification and video processing to speech recognition and natural language understanding.
Chengqi Zhang, Philip S. Yu, Shirui Pan
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Graph Neural Networks With Convolutional ARMA Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Lorenzo Livi +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, 2023Elvin Isufi, Mohammad Sabbaqi
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Adaptive filters in Graph Convolutional Neural Networks
Pattern Recognition, 2023Francesco Isgrò +2 more
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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 fusion model of graph convolutional neural networks and LSTM
Applied Soft Computing Journal, 2021Yongqiang Yin +2 more
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EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
IEEE Transactions on Affective Computing, 2020Zhen Cui, Peng Song, Wenming Zheng
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