Research on key node identification in power communication network based on GCN

In power communication networks, the identification of the key nodes plays a crucial role in ensuring the security and stability of the network. To accurately identify the key nodes in power communication networks, this paper proposed a key node identification method based on graph convolutional neural networks (GCN), which identified the key nodes by constructing a GCN model to capture the structural information among the nodes to construct a feature matrix, and inputting the node features into the GCN layer to learn. The experimental results show that compared with the traditional method, the proposed method in this paper has better accuracy and effectiveness in the key node recognition task.