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Efficient Multimedia Representation and Processing for Artificial Intelligence on Computing Edges

Project Member(s): Zhang, G., Xu, M.

Funding or Partner Organisation: Nippon Telegraph and Telephone Corporation
Nippon Telegraph and Telephone Corporation

Start year: 2021


Zhang, H, Xu, M, Zhang, G & Niwa, K 2024, 'SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks', IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 2, pp. 2223-2234.
View/Download from: Publisher's site

FOR Codes: Expanding Knowledge in the Mathematical Sciences, Knowledge Representation and Machine Learning, Machine learning