Efficient Overlapping Community Search via Subspace Embedding and Attention-based Propagation

The proposed Simplified Multi-hop Attention Network (SMN) effectively identifies overlapping communities by introducing a subspace community embedding technique and a hop-wise attention mechanism to capture high-order patterns while improving model efficiency.