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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：122/0  |  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)  
Towards embedding information diffusion data for understanding big dynamic networks 期刊论文
NEUROCOMPUTING, 2021, 卷号: 466, 页码: 265-284
作者:  Yang, Hong;  Zhang, Peng;  Wang, Haishuai;  Zhou, Chuan;  Li, Zhao;  Gao, Li;  Tan, Qingfeng
收藏  |  浏览/下载：140/0  |  提交时间：2022/04/02
Network coarsening  Information diffusion  Graph data mining  
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2921-2935
作者:  Zhang, Miao;  Li, Huiqi;  Pan, Shirui;  Chang, Xiaojun;  Zhou, Chuan;  Ge, Zongyuan;  Su, Steven
收藏  |  浏览/下载：181/0  |  提交时间：2021/10/26
Computer architecture  Training  Optimization  Neural networks  Search methods  Australia  Germanium  AutoML  neural architecture search  continual learning  catastrophic forgetting  novelty search  
NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data 期刊论文
FRONTIERS IN GENETICS, 2020, 卷号: 11, 页码: 8
作者:  Xiong, Jiankang;  Gong, Fuzhou;  Wan, Lin;  Ma, Liang
收藏  |  浏览/下载：202/0  |  提交时间：2021/01/14
single-cell RNA sequencing  elastic embedding  neural networks  large-scale  stochastic optimization  parametric models  generalizable models  
Deep spatial-temporal structure learning for rumor detection on Twitter 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020, 页码: 11
作者:  Huang, Qi;  Zhou, Chuan;  Wu, Jia;  Liu, Luchen;  Wang, Bin
收藏  |  浏览/下载：174/0  |  提交时间：2020/09/23
Rumor detection  Spatial-temporal structure learning