A Graph Convolutional Network-Based Sensitive Information Detection Algorithm

A Graph Convolutional Network-Based Sensitive Information Detection Algorithm

In the field of natural language processing (NLP), the task of sensitive information detection refers to the procedure of identifying sensitive words for given documents. The majority of existing detection methods are based on the sensitive-word tree, which is usually constructed via the common pref...

Full description

Saved in:

Bibliographic Details
Main Authors:	Ying Liu, Chao-Yu Yang, Jie Yang
Format:	Article
Language:	English
Published:	Wiley 2021-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2021/6631768
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Heterogeneous Graph Convolutional Network-Based Dynamic Rumor Detection on Social Media
by: Dingguo Yu, et al.
Published: (2022-01-01)

A Network Traffic Prediction Model Based on Layered Training Graph Convolutional Network
by: Yulian Li, et al.
Published: (2025-01-01)

Graph Convolutional Network for Word Sense Disambiguation
by: Chun-Xiang Zhang, et al.
Published: (2021-01-01)

Research on Recommendation Algorithm of Joint Light Graph Convolution Network and DropEdge
by: Haicheng Qu, et al.
Published: (2022-01-01)

Automated Detection of Microseismic Arrival Based on Convolutional Neural Networks
by: Weijian Liu, et al.
Published: (2022-01-01)

Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network
by: Guimei Yin, et al.
Published: (2025-02-01)

Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction
by: Zexi Yang, et al.
Published: (2025-01-01)

Multiscale network alignment model based on convolution of homogeneous multilayer graphs
by: CUI Jiahao, et al.
Published: (2024-12-01)

A novel graph convolution and frequency domain filtering approach for hyperspectral anomaly detection
by: Yang Ding, et al.
Published: (2025-01-01)

Latent Graph Induction Networks and Dependency Graph Networks for Events Detection
by: Jing Yang, et al.
Published: (2025-01-01)

Low-frequency spectral graph convolution networks with one-hop connections information for personalized tag recommendation
by: Zhengshun Fei, et al.
Published: (2024-11-01)

Segmentation Algorithm of Magnetic Resonance Imaging Glioma under Fully Convolutional Densely Connected Convolutional Networks
by: Jie Dong, et al.
Published: (2022-01-01)

A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks
by: Vikram S. Ingole, et al.
Published: (2024-12-01)

CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network
by: Guojie Liu, et al.
Published: (2020-01-01)

Graph attention convolution network for power flow calculation considering grid uncertainty
by: Haochen Li, et al.
Published: (2025-04-01)

Heterogeneous graph convolutional neural network for protein-ligand scoring
by: Kevin Crampon, et al.
Published: (2023-04-01)

A Universal Fast Algorithm for Sensitivity-Based Structural Damage Detection
by: Q. W. Yang, et al.
Published: (2013-01-01)

Vehicle Detection for Vision-Based Intelligent Transportation Systems Using Convolutional Neural Network Algorithm
by: Othman O. Khalifa, et al.
Published: (2022-01-01)

HPGCN: A graph convolutional network-based prediction model for herbal heat/cold properties
by: Qikai Niu, et al.
Published: (2025-03-01)

Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting
by: Ping Lou, et al.
Published: (2023-01-01)

Aircraft Detection for Remote Sensing Images Based on Deep Convolutional Neural Networks
by: Liming Zhou, et al.
Published: (2021-01-01)

Traffic Flow Prediction Based on Multi-Spatiotemporal Attention Gated Graph Convolution Network
by: Yun Ge, et al.
Published: (2022-01-01)

CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer
by: Kai Liu, et al.
Published: (2025-01-01)

Automatic Detection of Small Intestinal Hookworms in Capsule Endoscopy Images Based on a Convolutional Neural Network
by: Tao Gan, et al.
Published: (2021-01-01)

Multi-Sensor Information Fusion with Multi-Scale Adaptive Graph Convolutional Networks for Abnormal Vibration Diagnosis of Rolling Mill
by: Rongrong Peng, et al.
Published: (2025-01-01)

Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks
by: Fenglin Liu, et al.
Published: (2024-12-01)

Image Semantic Recognition Algorithm of Colorimetric Sensor Array Based on Deep Convolutional Neural Network
by: Xihua Chen, et al.
Published: (2022-01-01)

Optimized convolutional neural network using African vulture optimization algorithm for the detection of exons
by: K. Jayasree, et al.
Published: (2025-01-01)

Attention-Based Convolutional Neural Network for Pavement Crack Detection
by: Haifeng Wan, et al.
Published: (2021-01-01)

Unsupervised intrusion detection model based on temporal convolutional network
by: LIAO Jinju, et al.
Published: (2025-01-01)

An intrusion detection model based on Convolutional Kolmogorov-Arnold Networks
by: Zhen Wang, et al.
Published: (2025-01-01)

MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia
by: Haiyuan Wang, et al.
Published: (2025-02-01)

Algorithm of Strawberry Disease Recognition Based on Deep Convolutional Neural Network
by: Li Ma, et al.
Published: (2021-01-01)

Face Alignment Algorithm Based on an Improved Cascaded Convolutional Neural Network
by: Xun Duan, et al.
Published: (2021-01-01)

Convolutional neural networks for diabetic retinopathy detection
by: Darwin Patiño-Pérez, et al.
Published: (2025-01-01)

Overseas short video recommendations: A multimodal graph convolutional network approach incorporating cultural preferences
by: Xishi Liu, et al.
Published: (2025-03-01)

A power load forecasting method using cosine similarity and a graph convolutional network
by: JI Shan, et al.
Published: (2025-01-01)

Graph Convolution for Large-Scale Graph Node Classification Task Based on Spatial and Frequency Domain Fusion
by: Junwen Lu, et al.
Published: (2025-01-01)

Adaptive Graph Cut Based Cloud Detection in Wireless Sensor Networks
by: Shuang Liu, et al.
Published: (2015-10-01)

Integration of unpaired single cell omics data by deep transfer graph convolutional network.
by: Yulong Kan, et al.
Published: (2025-01-01)