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Author

Tianhang Wan

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Book Open access Aug 2026

Continual-GraphLLM: Dynamic Graph Large Language Model with Invariance Regularized Adaptive Multi-Scale Experts

A novel Continual Learning Dynamic Graph LLM framework (Continual-GraphLLM) is proposed to continually adapt to incoming patterns by routing them to experts specialized in similar past patterns, while mitigating the overwriting of previously learned patterns by assigning new experts to unseen patterns.

Tianhang Wan, Xin Wang, Haibo Chen et al. · 0 citations
Book Open access Aug 2026

Continual-GraphLLM: Dynamic Graph Large Language Model with Invariance Regularized Adaptive Multi-Scale Experts

Dynamic text-attributed graphs (DyTAGs) exhibit coupled textual and structural dynamics, and existing mainstream approaches for DyTAGs extend conventional large language models (LLMs) to capture both dynamics, thereby giving rise to dynamic graph LLMs. However, in DyTAGs, the continuous emergence of new nodes and edges...

Tianhang Wan, Xin Wang, Haibo Chen et al. · 0 citations

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