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Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 12
作者:  Lin, Xixun;  Zhou, Chuan;  Wu, Jia;  Yang, Hong;  Wang, Haibo;  Cao, Yanan;  Wang, Bin
收藏  |  浏览/下载：120/0  |  提交时间：2023/02/07
Gradient -based attacks  Maximal gradient  Graph neural networks  Semi-supervised node classification  
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks 期刊论文
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2022, 卷号: 40, 期号: 3, 页码: 29
作者:  Zhang, Ge;  Li, Zhao;  Huang, Jiaming;  Wu, Jia;  Zhou, Chuan;  Yang, Jian;  Gao, Jianliang
收藏  |  浏览/下载：193/0  |  提交时间：2022/04/29
Online e-commerce platforms  fraud detection system  graph neural networks  
VP-Detector: A 3D multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 221, 页码: 14
作者:  Hao, Yu;  Wan, Xiaohua;  Yan, Rui;  Liu, Zhiyong;  Li, Jintao;  Zhang, Shihua;  Cui, Xuefeng;  Zhang, Fa
收藏  |  浏览/下载：96/0  |  提交时间：2023/02/07
Cryo-ET  Sub-tomogram averaging  Particle localization  Particle classification  Convolutional neural networks  
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：99/0  |  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)  
A Comprehensive Survey on Community Detection With Deep Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 21
作者:  Su, Xing;  Xue, Shan;  Liu, Fanzhen;  Wu, Jia;  Yang, Jian;  Zhou, Chuan;  Hu, Wenbin;  Paris, Cecile;  Nepal, Surya;  Jin, Di;  Sheng, Quan Z.;  Yu, Philip S.
收藏  |  浏览/下载：142/0  |  提交时间：2022/04/29
Deep learning  Taxonomy  Optimization  Partitioning algorithms  Clustering algorithms  Social networking (online)  Peer-to-peer computing  Community detection  deep learning  graph neural network  network representation  social networks  
API-GNN: attribute preserving oriented interactive graph neural network 期刊论文
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2022, 页码: 20
作者:  Zhou, Yuchen;  Shang, Yanmin;  Cao, Yanan;  Li, Qian;  Zhou, Chuan;  Xu, Guandong
收藏  |  浏览/下载：137/0  |  提交时间：2022/04/02
Data mining  Graph neural networks  Social analysis  Representation learning  
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：146/0  |  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  
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Liu, Yixin;  Li, Zhao;  Pan, Shirui;  Gong, Chen;  Zhou, Chuan;  Karypis, George
收藏  |  浏览/下载：120/0  |  提交时间：2022/04/02
Anomaly detection  Task analysis  Graph neural networks  Unsupervised learning  Predictive models  Pattern matching  Training  Anomaly detection  attributed networks  contrastive self-supervised learning  graph neural networks (GNNs)  unsupervised learning  
An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 卷号: 18, 期号: 1, 页码: 355-364
作者:  Jing, Fang;  Zhang, Shao-Wu;  Cao, Zhen;  Zhang, Shihua
收藏  |  浏览/下载：160/0  |  提交时间：2021/04/26
Bioinformatics  machine learning  transcription factors binding sites  convolutional neural networks  DNA accessibility  histone modification  
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：165/0  |  提交时间：2021/01/14
single-cell RNA sequencing  elastic embedding  neural networks  large-scale  stochastic optimization  parametric models  generalizable models