OGA combines prototype-based unknown-class rejection with LLM-generated, structure-guided annotations so text-attributed graphs can be retrained in open-world settings.
Continual learning of knowledge graph embeddings
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When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty
OGA combines prototype-based unknown-class rejection with LLM-generated, structure-guided annotations so text-attributed graphs can be retrained in open-world settings.