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pro vyhledávání: '"Yin, Huifeng"'
Autor:
Xu, Mingkun, Yin, Huifeng, Wu, Yujie, Li, Guoqi, Liu, Faqiang, Pei, Jing, Zhong, Shuai, Deng, Lei
In recent years, spiking neural networks (SNNs) have attracted substantial interest due to their potential to replicate the energy-efficient and event-driven processing of biological neurons. Despite this, the application of SNNs in graph representat
Externí odkaz:
http://arxiv.org/abs/2407.20508
Graph representation learning has become a crucial task in machine learning and data mining due to its potential for modeling complex structures such as social networks, chemical compounds, and biological systems. Spiking neural networks (SNNs) have
Externí odkaz:
http://arxiv.org/abs/2403.17040
Autor:
Yin, Huifeng, Zheng, Hanle, Mao, Jiayi, Ding, Siyuan, Liu, Xing, Xu, Mingkun, Hu, Yifan, Pei, Jing, Deng, Lei
Spiking neural networks (SNNs), inspired by the neural circuits of the brain, are promising in achieving high computational efficiency with biological fidelity. Nevertheless, it is quite difficult to optimize SNNs because the functional roles of thei
Externí odkaz:
http://arxiv.org/abs/2403.16674
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