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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.CV2026
Multi-view Graph Convolutional Network with Fully Leveraging Consistency via Granular-ball-based Topology Construction, Feature Enhancement and Interactive Fusion
Chengjie Cui, Taihua Xu, Shuyin Xia +3
The effective utilization of consistency is crucial for multi-view learning. GCNs leverage node connections to propagate information across the graph, facilitating the exploitation…