Uncertainty-guided recurrent prototype distillation for graph few-shot class-incremental learning

Ning Zhu; Shaofan Wang; Sun Yan-feng; Baocai Yin

doi:10.1007/s00530-025-01764-y

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Uncertainty-guided recurrent prototype distillation for graph few-shot class-incremental learning

Ning Zhu Shaofan Wang Sun Yan-feng Baocai Yin

Year: 2025 Journal: Multimedia Systems Vol: 31 (3) Publisher: Springer Science+Business Media

DOI: 10.1007/s00530-025-01764-y

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Keywords:

Computer science Class (philosophy) Graph Graphics Distillation Machine learning Theoretical computer science Cryptography One shot Artificial intelligence Algorithm Computer graphics (images) Engineering

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Uncertainty-guided recurrent prototype distillation for graph few-shot class-incremental learning

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