To maximize the homogeneity of these two distinct graphs, we design an improved semi-supervised contrastive loss. In order to enrich scarce label information, we propose a self-supervised mechanism to ...

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The proposal of Graph Convolutional Networks (GCN) gives the neural network a better performance to understand graph structure data. Therefore, GCN has a natural advantage in the action recognition ...

Abstract We consider the block matrices and 3-dimensional graph manifolds associated with a special type of tree graphs. We demonstrate that the linking matrices of these graph manifolds coincide with ...