Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach

Class-incremental learning (CIL) aims to continually learn a sequence of tasks, with each task consisting of a set of unique classes. Graph CIL (GCIL) follows the same setting but needs to deal with graph tasks (e.g., node classification in a graph). The key characteristic of CIL lies in the absence...

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Veröffentlicht in:	arXiv.org 2024-10
Hauptverfasser:	Niu, Chaoxi, Pang, Guansong, Chen, Ling, Liu, Bing
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Data smoothing Datasets Graph neural networks Learning Prototypes Smoothing
Online-Zugang:	Volltext
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