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Graph neural networks (GNNs) are powerful models that have been successful in various graph representation learning tasks.
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Yongxin Yang, Irene Garcia Morillo, and Timothy M Hospedales · 2018
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Spatially-aware graph neural networks for relational behavior forecasting from sensor data
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What graph neural networks cannot learn: depth vs width
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A deep learning approach to antibiotic discovery
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A framework for recommending accurate and diverse items using bayesian graph convolutional neural networks
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Unsupervised domain adaptive graph convolutional networks
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