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.

Few-Shot LearningGraph Continual LearningSemantic Anchors

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Unleashing Large Language Models for Graph Continual Learning: The UNIT Framework