Depending on the underlying graph, you also need to handle cycles intelligently. In social networks, mutual relationships are ...
Abstract: Significant progress has been achieved by using the graph convolutional network (GCN) in image change detection. However, the limited quantity of labeled data and the inherent speckle noise ...
Abstract: Recently, Message Passing Neural Networks (MPNNs) have become significant popular frameworks in graph neural networks (GNNs) for solve the graph representation learning(GRL). However, MPNNs ...
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