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HeterSEED achieves state-of-the-art performance on heterophilic heterogeneous graphs by decoupling semantic and structural information, offering a more robust approach than relying on feature similarity alone.
A single system can now generate detection rules across diverse contexts and languages, outperforming pure LLM generation by leveraging dual semantic projection spaces.
