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Hierarchical Response Preservation for Continual Adaptation of Zero-Shot Graph-Text Models
Pretrained graph-text models align graph representations with textual semantics, enabling recognition of unseen classes and transfer across graph domains. However, as graph data and classes continually arrive, models should learn from new supervision while retaining their zero-shot transfer capabili
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