Core Concepts
SSHPool effectively extracts hierarchical global features from graph structures, addressing over-smoothing issues in GNNs.
Stats
"Experimental results demonstrate the superior performance of the proposed model on real-world datasets."
"The proposed SSHPool can effectively extract the hierarchical global feature of the original graph structure."
"The main contributions of this work are threefold."