相关实验视频

Updated: Jul 26, 2026

Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array
09:44

Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array

Published on: March 8, 2024

动机和超节点增强的封闭图形神经网络,用于基于会话的推

Ronghua Lin1, Chang Liu2, Hao Zhong1

  • 1School of Computer Science, South China Normal University, Guangzhou, 510631, China; Pazhou Lab, Guangzhou, 510330, China.

Neural networks : the official journal of the International Neural Network Society
|March 27, 2025
PubMed
概括

这项研究引入了一种新的推系统,该系统使用图形神经网络 (GNN) 来更好地预测匿名会话中的用户行为. 增强的系统通过分析项目关系和用户模式来改进建议.

关键词:
图表神经网络的神经网络动机增强的增强动机基于会议的建议建议.超级节点增强的超级节点

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