Aug 2026
TriP: A triple-prompt framework aligning pre-training and class-incremental objectives in continual graph learning.
The proliferation of dynamic graph-structured data necessitates Continual Graph Learning (CGL) to enable models to learn incrementally and retain past knowledge. Class-incremental learning (class-IL) in CGL is particularly challenging due to catastrophic forgetting. Existing CGL strategies, including recent prompt-base...
Can-Ming Cui, Hui-Yu Zhou, Pei-Yuan Lai et al.
· Neural Networks · 0 citations