Node Label

Node labeling, the task of assigning labels to nodes in a graph, is crucial for various applications, including node classification and community detection. Current research focuses on improving the efficiency and accuracy of node labeling algorithms, particularly within graph neural networks (GNNs), addressing challenges like noisy labels, limited data, and the need for scalable solutions for massive graphs. These efforts involve developing novel GNN architectures and incorporating techniques from statistical signal processing and active learning to optimize label acquisition and improve model robustness. The advancements in this field have significant implications for diverse domains, enabling more accurate and efficient analysis of complex networked data.