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Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Lin, Xixun;  Li, Zhao;  Zhang, Peng;  Liu, Luchen;  Zhou, Chuan;  Wang, Bin;  Tian, Zhihong
收藏  |  浏览/下载：108/0  |  提交时间：2023/02/07
Task analysis  Kernel  Training  Decoding  Stochastic processes  Predictive models  Computational modeling  Few-shot learning  graph classification  graph neural networks (GNNs)  neural process (NP)  
Design of Distributed Observers in the Presence of Arbitrarily Large Communication Delays 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 9, 页码: 4447-4461
作者:  Liu, Kexin;  Lu, Jinhu;  Lin, Zongli
收藏  |  浏览/下载：161/0  |  提交时间：2018/10/07
Distributed observers  low-gain feedback  multiagent systems (MASs)  time delay  
Lower Bounds on the Proportion of Leaders Needed for Expected Consensus of 3-D Flocks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 11, 页码: 2555-2565
作者:  Li, Xuejing;  Wang, Lin;  Liu, Zhixin;  Dong, Daoyi
收藏  |  浏览/下载：114/0  |  提交时间：2018/07/30
3-D flocking model  expected consensus  leader-follower model  lower bound