Convolution Bridge: An Effective Algorithmic Migration Strategy From CNNs to GNNs

IF 10.2 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE transactions on neural networks and learning systems Pub Date : 2025-01-15 DOI:10.1109/tnnls.2025.3527501

Kuijie Zhang, Shanchen Pang, Huahui Yang, Yuanyuan Zhang, Wenhao Wu, Hengxiao Li, Jerry Chun-Wei Lin

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卷积桥：一种从cnn到gnn的有效算法迁移策略

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来源期刊

IEEE transactions on neural networks and learning systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

CiteScore

23.80

自引率

9.60%

发文量

2102

审稿时长

3-8 weeks

期刊介绍： The focus of IEEE Transactions on Neural Networks and Learning Systems is to present scholarly articles discussing the theory, design, and applications of neural networks as well as other learning systems. The journal primarily highlights technical and scientific research in this domain.

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