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Graph Classification via Graph Structure Learning
2022Tu Huynh, Tuyen Thanh Thi Ho, Bac Le
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GRAPH NEURAL NETWORKS IN GRAPH LEARNING
Neural networks have a large family of sub-fields. The constraints and limitations that neural networks face within themselves have positively affected their development and led to the creation of new neural network models. The biggest example of this is the development of graph neural network (GNN) models in addition to convolutional neural network ...Gümüş, Hamza Talha, Eyüpoğlu, Can
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Summary Graph Induced Invariant Learning for Generalizable Graph Learning
IEEE Transactions on Knowledge and Data EngineeringXuecheng Ning +5 more
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