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 ...

Add a description, image, and links to the adjacency-matrix-graph topic page so that developers can more easily learn about it ...

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 ...

Discover how LDPC codes are revolutionizing information transfer with their reliability and efficiency. Explore the impact of loops on LDPC decoder performance and delve into the relationship between ...