2 papers
cs.AI2026
SCGNN: Semantic Consistency enhanced Graph Neural Network Guided by Granular-ball Computing
Genhao Tian, Taihua Xu, Shuyin Xia +3
Capturing semantic consistency among nodes is crucial for effective graph representation learning. Existing approaches typically rely on -nearest neighbors (NN) or other node…
cs.LG2026
Layer Embedding Deep Fusion Graph Neural Network
Taihua Xu, Genhao Tian, Jicong Fan +3
Graph Neural Networks (GNNs) have demonstrated impressive performance in learning representations from graph-structured data. However, their message-passing mechanism inherently re…