“In the realm of continual learning, researchers have made significant strides with the introduction of an efficient continual graph learner (E-CG). This system addresses the challenges of interdependencies in graph data and large-scale efficiency, offering a solution to prevent catastrophic forgetting and enhance performance in continual graph learning.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 8, Pages: 1441-1453(2025)
Affiliations:
Digital Media Computing & Design Lab, College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China