Structural reinforcement-based graph convolutional networks

Structural reinforcement-based graph convolutional networks

Graph Convolutional Network (GCN) is a tool for feature extraction, learning, and inference on graph data, widely applied in numerous scenarios. Despite the great success of GCN, it performs weakly under some application conditions, such as a multiple layers model or severely limited labeled nodes....

Full description

Bibliographic Details
Main Authors:	Jisheng Qin, Qianqian Wang, Tao Tao
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2022-12-01
Series:	Connection Science
Subjects:	graph convolutional network structural reinforcement semantic alignment
Online Access:	http://dx.doi.org/10.1080/09540091.2022.2151977

Similar Items

Multi-Semantic Alignment Graph Convolutional Network
by: Jisheng Qin, et al.
Published: (2022-12-01)

Multi-Channel Graph Convolutional Networks for Graphs with Inconsistent Structures and Features
by: Xinglong Chang, et al.
Published: (2024-02-01)

Facial Landmark Detection With Learnable Connectivity Graph Convolutional Network
by: Le Quan Nguyen, et al.
Published: (2022-01-01)

Feature recommendation strategy for graph convolutional network
by: Jisheng Qin, et al.
Published: (2022-12-01)

A Graph Convolutional Network-Based Deep Reinforcement Learning Approach for Resource Allocation in a Cognitive Radio Network
by: Di Zhao, et al.
Published: (2020-09-01)

Knowledge Graph Alignment Network with Node-Level Strong Fusion
by: Shuang Liu, et al.
Published: (2022-09-01)

Using Graph Attention Network and Graph Convolutional Network to Explore Human CircRNA–Disease Associations Based on Multi-Source Data
by: Guanghui Li, et al.
Published: (2022-02-01)

RG-GCN: A Random Graph Based on Graph Convolution Network for Point Cloud Semantic Segmentation
by: Ziyin Zeng, et al.
Published: (2022-08-01)

Graph Convolution Network over Dependency Structure Improve Knowledge Base Question Answering
by: Chenggong Zhang, et al.
Published: (2023-06-01)

Reinforcement Learning-Empowered Graph Convolutional Network Framework for Data Integrity Attack Detection in Cyber-Physical Systems
by: Edeh Vincent, et al.
Published: (2024-01-01)

A comprehensive review of graph convolutional networks: approaches and applications
by: Xinzheng Xu, et al.
Published: (2023-05-01)

Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs With Graph Convolutional Networks
by: Kota Nakashima, et al.
Published: (2020-01-01)

Point Cloud Segmentation Network Based on Attention Mechanism and Dual Graph Convolution
by: Xiaowen Yang, et al.
Published: (2023-12-01)

Gemma: Reinforcement Learning-Based Graph Embedding and Mapping for Virtual Network Applications
by: Minjae Park, et al.
Published: (2021-01-01)

Reward shaping using directed graph convolution neural networks for reinforcement learning and games
by: Jianghui Sang, et al.
Published: (2023-11-01)

Graph Convolutional Network Design for Node Classification Accuracy Improvement
by: Mohammad Abrar Shakil Sejan, et al.
Published: (2023-08-01)

Syntactic and Semantic Aware Graph Convolutional Network for Aspect-Based Sentiment Analysis
by: Junjie Chen, et al.
Published: (2024-01-01)

Topological Graph Convolutional Network Based on Complex Network Characteristics
by: He Gao, et al.
Published: (2022-01-01)

KVGCN: A KNN Searching and VLAD Combined Graph Convolutional Network for Point Cloud Segmentation
by: Nan Luo, et al.
Published: (2021-03-01)

Dual graph convolutional neural network for predicting chemical networks
by: Shonosuke Harada, et al.
Published: (2020-04-01)

Structure-Feature Fusion Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
by: Zhitao Zhang, et al.
Published: (2020-01-01)

RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph
by: Weiping Ding, et al.
Published: (2022-01-01)

CNN-Enhanced Heterogeneous Graph Convolutional Network: Inferring Land Use from Land Cover with a Case Study of Park Segmentation
by: Zhi-Qiang Liu, et al.
Published: (2022-10-01)

Graph Convolutional Network Surrogate Model for Mesh-Based Structure-Borne Noise Simulation
by: Sang-Yun Lee, et al.
Published: (2023-08-01)

Dynamic Spatio-Temporal Graph Fusion Convolutional Network for Urban Traffic Prediction
by: Haodong Ma, et al.
Published: (2023-08-01)

Research on Virus Morphology Recognition Method Based on Enhanced Graph Convolutional Network
by: Yan HA, Weicheng YUAN, Xiangjie MENG, Junfeng TIAN
Published: (2022-05-01)

Scalable Graph Convolutional Networks With Fast Localized Spectral Filter for Directed Graphs
by: Chensheng Li, et al.
Published: (2020-01-01)

WMGCN: Weighted Meta-Graph Based Graph Convolutional Networks for Representation Learning in Heterogeneous Networks
by: Jinli Zhang, et al.
Published: (2020-01-01)

Convolutional Neural Network Outperforms Graph Neural Network on the Spatially Variant Graph Data
by: Anna Boronina, et al.
Published: (2023-05-01)

View graph construction for scenes with duplicate structures via graph convolutional network
by: Yang Peng, et al.
Published: (2022-08-01)

Graph convolution network-based surrogate model for natural convection in annuli
by: Feng Feng, et al.
Published: (2024-05-01)

MSGCN: Multi-Subgraph Based Heterogeneous Graph Convolution Network Embedding
by: Junhui Chen, et al.
Published: (2021-10-01)

Poisson kernel: avoiding self-smoothing in graph convolutional networks
by: Yang, Ziqing, et al.
Published: (2022)

Predicting help desk ticket reassignments with graph convolutional networks
by: Jörg Schad, et al.
Published: (2022-03-01)

A Category-Contrastive Guided-Graph Convolutional Network Approach for the Semantic Segmentation of Point Clouds
by: Xuzhe Wang, et al.
Published: (2023-01-01)

A-GSTCN: An Augmented Graph Structural–Temporal Convolution Network for Medication Recommendation Based on Electronic Health Records
by: Weiqi Yue, et al.
Published: (2023-10-01)

A novel image clustering method based on coupled convolutional and graph convolutional network
by: Rangjun Li
Published: (2021-11-01)

Heterogeneous Multi-Behavior Recommendation Based on Graph Convolutional Networks
by: Ran Rang, et al.
Published: (2023-01-01)

Hyperspectral Image Classification Based on Fusion of Convolutional Neural Network and Graph Network
by: Luyao Gao, et al.
Published: (2023-06-01)

A novel Knowledge Graph recommendation algorithm based on Graph Convolutional Network
by: Hui Guo, et al.
Published: (2024-12-01)