Neural structure learning plays a important role in optimizing both sample features and structured signals to enhance the performance of neural networks. By incorporating structured signals into the learning process, neural networks can leverage additional information beyond individual sample features, leading to improved generalization and robustness. In the context of artificial intelligence, specifically in the