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A Comprehensive Survey on Graph Neural Networks [PDF]

open access: yesIEEE Transactions on Neural Networks and Learning Systems, 2021
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
exaly   +2 more sources

Graph Neural Networks With Convolutional ARMA Filters

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Lorenzo Livi   +2 more
exaly  

Combining Graph Convolutional Neural Networks and Label Propagation

ACM Transactions on Information Systems, 2022
Hongwei Wang, Jure Leskovec
exaly  

Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization

Expert Systems With Applications, 2021
Adrian Munteanu   +2 more
exaly  

Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Elvin Isufi, Mohammad Sabbaqi
exaly  

Adaptive filters in Graph Convolutional Neural Networks

Pattern Recognition, 2023
Francesco Isgrò   +2 more
exaly  

Short-term residential load forecasting using Graph Convolutional Recurrent Neural Networks

Engineering Applications of Artificial Intelligence, 2022
Mohammad Reza Jabbarpour
exaly  

EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM

Applied Soft Computing Journal, 2021
Yongqiang Yin   +2 more
exaly  

EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

IEEE Transactions on Affective Computing, 2020
Zhen Cui, Peng Song, Wenming Zheng
exaly  

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