E-CGL: An Efficient Continual Graph Learner

Continual learning has emerged as a crucial paradigm for learning from sequential data while preserving previous knowledge. In the realm of continual graph learning, where graphs continuously evolve based on streaming graph data, continual graph learning presents unique challenges that require adapt...

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Hauptverfasser:	Guo, Jianhao, Ni, Zixuan, Zhu, Yun, Tang, Siliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
Online-Zugang:	Volltext bestellen
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