GuARD progressively injects SLM text summaries and GNN structural vectors into an instruction-tuned LLM to detect anomalous nodes, reporting state-of-the-art results and large speedups over long-context LLM fine-tuning.
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GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model
GuARD progressively injects SLM text summaries and GNN structural vectors into an instruction-tuned LLM to detect anomalous nodes, reporting state-of-the-art results and large speedups over long-context LLM fine-tuning.