Data Party THU
Jul 20, 2026 · Artificial Intelligence
Unleashing Large Language Models for Graph Continual Learning: The UNIT Framework
The paper introduces UNIT, a three‑step framework that leverages a single‑task‑tuned LLM as a stable semantic encoder, combines uncertainty‑aware semantic anchors with explicit structural anchors, and achieves state‑of‑the‑art performance on multiple text‑attributed graph continual‑learning benchmarks, even in few‑shot settings.
Graph Continual LearningLarge Language ModelsSemantic Anchors
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