Structure Enhanced Prototypical Alignment for Unsupervised Cross-Domain Node Classification

Information Science, Automation, Artificial Intelligence,
Graph Neural Networks   Node Classification   Graph Domain Adaptation   Transfer Learning   Unsupervised Learning  

Structurally Enhanced Prototype Alignment for Unsupervised Cross-Domain Node Classification Introduction With the advancement of modern information technology, Graph Neural Networks (GNNs) have demonstrated significant success in handling complex network node classification tasks. However, one key challenge is the need for a large amount of high-qu...