Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips

Author:

Li Hongyi1ORCID,Xu Mingkun1ORCID,Pei Jing1ORCID,Zhao Rong1ORCID

Affiliation:

1. Tsinghua University, Beijing, China

Funder

Science and Technology Innovation 2030 - New Generation of Artificial Intelligence, China

Publisher

ACM

Reference22 articles.

1. Thomas N Kipf and Max Welling . Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 , 2016 . Thomas N Kipf and Max Welling. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907, 2016.

2. Graph convolutional networks: a comprehensive review

3. Mingkun Xu , Yujie Wu , Lei Deng , Faqiang Liu , Guoqi Li , and Jing Pei . Exploiting spiking dynamics with spatial-temporal feature normalization in graph learning. In Zhi-Hua Zhou, editor , Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 , pages 3207 -- 3213 . International Joint Conferences on Artificial Intelligence Organization, 8 2021 . Main Track. Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, and Jing Pei. Exploiting spiking dynamics with spatial-temporal feature normalization in graph learning. In Zhi-Hua Zhou, editor, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, pages 3207--3213. International Joint Conferences on Artificial Intelligence Organization, 8 2021. Main Track.

4. Zulun Zhu , Jiaying Peng , Jintang Li , Liang Chen , Qi Yu , and Siqiang Luo . Spiking graph convolutional networks. arXiv preprint arXiv:2205.02767 , 2022 . Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, and Siqiang Luo. Spiking graph convolutional networks. arXiv preprint arXiv:2205.02767, 2022.

5. A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces

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