TAROT constructs and refines LLM-derived task-adaptive semantic graphs then applies GNN message passing to improve few-shot tabular prediction.
Tabgnn: Multiplex graph neural network for tabular data prediction
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A survey proposing a holistic GraphRAG framework with components including query processor, retriever, organizer, generator, and data source, plus domain-tailored reviews, challenges, and future directions.
citing papers explorer
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TAROT: Task-Adaptive Refinement of LLM-prior Graphs for Few-shot Tabular Learning
TAROT constructs and refines LLM-derived task-adaptive semantic graphs then applies GNN message passing to improve few-shot tabular prediction.
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Retrieval-Augmented Generation with Graphs (GraphRAG)
A survey proposing a holistic GraphRAG framework with components including query processor, retriever, organizer, generator, and data source, plus domain-tailored reviews, challenges, and future directions.