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Data-Efficient Agentic Graph Domain Adaptation via Reliability-Aware Prototype Learning
Agentic learning systems are often required to adapt after deployment by observing new data and reusing prior knowledge under limited supervision or feedback. For graph-structured prediction, Graph Domain Adaptation (GDA) naturally instantiates this setting by transferring knowledge from labeled sou
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