陆广泉｜广西师范大学｜学者主页

2026

Data augmentation with attentional feature aggregation for node classification in GNNs

Guangquan Lu, Shilong Lin, Yuxuan Hu, Debo Cheng, Chen Li, Shichao Zhang

Information Fusion

DOI

2026

A Wavelet-Based Graph Dynamical Confidence Information Bottleneck Network for Class-Imbalanced Node Classification

Longqing Du, Zhijie Luo, Yaoyao Shi, Guangquan Lu, Shichao Zhang, Wenzhen Zhang

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2026

Graph Representation Learning with a Multi-View Hybrid Model for Class-Imbalanced Node Classification

Longqing Du, Zhekai Mao, Zi-Han Wang, Yuanhua Zhou, Mingxia Bi, Â. Nguyễn, Vinh Quang Bùi, Guangquan Lu

Tsinghua Science and Technology

DOI

2026

Auto-Weighted Multi-View One-Step Spectral Clustering Based on Multi-Graph Fusion

Jian Wei, Jiangzhang Gan, Bo Zhou, Guoqiu Wen, Chen Chen, Guangquan Lu, Yongsong Qin

Electronics

DOI

2026

A key node identification method based on neighborhood-derived cluster method

Yixian Lu, Jiafei Liu, Jingli Wu, Guangquan Lu

Neurocomputing

DOI

2025

Graph similarity learning for cross-level interactions

Cuifang Zou, Guangquan Lu, Longqing Du, Xuxia Zeng, Shilong Lin

Information Processing & Management，Vol. 62, No. 1

DOI

2025

Multi-Hop Contrastive Learning with Feature Augmentation for Node Classification

Xuxia Zeng, Guangquan Lu, Cuifang Zou, Shilong Lin, Longqing Du, Shichao Zhang

European Conference on Artificial Intelligence

DOI

2025

DHRL4HKG: A Dual-Hypergraph Representation Learning for Hyper-Relational Knowledge Graphs

Jie-Cheng Li, Xudong Luo, Guangquan Lu, Shichao Shang

Knowledge-Based Systems

DOI

2025

Hyper-Relational Knowledge Representation Learning with Multi-Hypergraph Disentanglement

Jie-Cheng Li, Xudong Luo, Guangquan Lu, Shichao Zhang

The Web Conference

DOI

2025

A multi-view graph neural network with subgraph variational autoencoder for class-Imbalanced node classification

Longqing Du, Zhirong Huang, Jie-Cheng Li, Guixian Zhang, Debo Cheng, Guangquan Lu, Shichao Zhang

Knowledge-Based Systems

DOI

2025

Efficient Adaptive Label Refinement for label noise learning

Wenzhen Zhang, Wenzhen Zhang, Debo Cheng, Guangquan Lu, Bo Zhou, Jiaye Li, Shichao Zhang

Neurocomputing

DOI

2025

Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion

Cuifang Zou, Guangquan Lu, Wenzhen Zhang, Xuxia Zeng, Shilong Lin, Longqing Du, Shichao Zhang

International Joint Conference on Artificial Intelligence

DOI

2025

Synthesizing stronger nodes for minority classes in imbalanced node classification

Shilong Lin, Guangquan Lu, Shichao Zhang, Longqing Du, Zhijie Luo, Lin Luo

Neurocomputing

DOI

2025

Learning instrumental variable representation for debiasing in recommender systems

Zhirong Huang, Shichao Zhang, Debo Cheng, Jiu-Yong Li, Lin Liu, Guangquan Lu, Gui-Xian Zhang

Neural Networks

DOI

2025

Graph Attention-Based Dual Enhancement for Multiview Clustering

Guangquan Lu, Fuqing Ling, Jie-Cheng Li, Long-Tao Zhu, Xia Qin, Sebing Nong

IEEE Transactions on Computational Social Systems

DOI

2025

Fusing beyond homophily and low-frequency information in graph neural networks

Yangcai Xie, Jie-Cheng Li, Wenzhen Zhang, Jian Wei, Guangquan Lu, Shichao Zhang

Neurocomputing

DOI

2024

GS-CBR-KBQA: Graph-structured case-based reasoning for knowledge base question answering

Jiecheng Li, Xudong Luo, Guangquan Lu

Expert Systems With Applications，Vol. 257

DOI

2024

Link prediction in multilayer networks using weighted reliable local random walk algorithm

Zhiping Luo, Jian Yin, Guangquan Lu, Mohammad Reza Rahimi

Expert Systems With Applications，Vol. 247

DOI

2024

GraphDHV: Graph Neural Network with Dual Hybrid View on Imbalanced Node Classification

Longqing Du, Guangquan Lu, Yadan Han, Zhiping Luo, Guo-Qiu Wen, Liang Zhang, Wanxi Chen, Shichao Zhang

International Computing and Combinatorics Conference

DOI

2024

Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems

Zhirong Huang, Debo Cheng, Lin Liu, Jiu-Yong Li, Guangquan Lu, Shichao Zhang

International Joint Conference on Artificial Intelligence

DOI

2024

Joint Graph Augmentation and Adaptive Synthetic Sampling for Imbalanced Node Classification

Guangquan Lu, Wanxi Chen, Yadan Han, Jia-Min Tang, Fa-Liang Huang

Natural Language Processing and Chinese Computing

DOI

2024

A Temporal Knowledge Graph Embedding Model Based on Variable Translation

Yadan Han, Guangquan Lu, Shichao Zhang, Liang Zhang, Cuifang Zou, Guo-Qiu Wen

Tsinghua Science and Technology

DOI

2024

Identifying local useful information for attribute graph anomaly detection

Penghui Xi, Debo Cheng, Guangquan Lu, Zhenyun Deng, Guixian Zhang, Shichao Zhang

Neurocomputing

DOI

2023

Multi-view representation model based on graph autoencoder

Jingci Li, Guangquan Lu, Zhengtian Wu, Fuqing Ling

Information Sciences

DOI

2023

Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties

Yadan Han, Guangquan Lu, Jiecheng Li, Fuqing Ling, Wanxi Chen, Liang Zhang

Lecture notes in computer science

DOI

2022

Aspect sentiment analysis with heterogeneous graph neural networks

Guangquan Lu, Jiecheng Li, Jian Wei

Information Processing & Management，Vol. 59, No. 4

DOI

2022

Entity Relations Based Pointer-Generator Network for Abstractive Text Summarization

Tiancheng Huang, Guangquan Lu, Zexin Li, Jiagang Song, Lijuan Wu

Lecture notes in computer science

DOI

2022

Balanced Spectral Clustering Algorithm Based on Feature Selection

Qimin Luo, Guangquan Lu, Guoqiu Wen, Zidong Su, Xingyi Liu, Jian Wei

Lecture notes in computer science

DOI

2020

Graph convolutional networks of reconstructed graph structure with constrained Laplacian rank

Mengmeng Zhan, Jiangzhang Gan, Guangquan Lu, Yingying Wan

Multimedia Tools and Applications

DOI

2020

Sparse Graph Connectivity for Image Segmentation

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Yonggang Li, Guangquan Lu, Yang Yang

ACM Transactions on Knowledge Discovery from Data

DOI

2016

Extract the backbone links and the weakness nodes via community detection

Guangquan Lu, Jian Li, Zhiyi Mo, Faliang Huang, Wenzhong Liang

IEEE Conference on Industrial Electronics and Applications (ICIEA)

DOI

2014

一种基于校园物联网实验平台的大数据存储模型

农健，卢在盛，陆广泉

《梧州学院学报》

2012

一种基于KNN的半监督分类改进算法

陆广泉，谢扬才，刘星，张师超

《广西师范大学学报(自然科学版)》

2011

一种新的基于软集合理论的文本分类方法

袁鼎荣，谢扬才，陆广泉，刘星

《广西师范大学学报(自然科学版)》

2011

半监督分类技术及其算法研究

陆广泉

《广西师范大学》

精选作品

期刊论文

Data augmentation with attentional feature aggregation for node classification in GNNs

A Wavelet-Based Graph Dynamical Confidence Information Bottleneck Network for Class-Imbalanced Node Classification

Graph Representation Learning with a Multi-View Hybrid Model for Class-Imbalanced Node Classification

Auto-Weighted Multi-View One-Step Spectral Clustering Based on Multi-Graph Fusion

A key node identification method based on neighborhood-derived cluster method

Graph similarity learning for cross-level interactions

Multi-Hop Contrastive Learning with Feature Augmentation for Node Classification

DHRL4HKG: A Dual-Hypergraph Representation Learning for Hyper-Relational Knowledge Graphs

Hyper-Relational Knowledge Representation Learning with Multi-Hypergraph Disentanglement

A multi-view graph neural network with subgraph variational autoencoder for class-Imbalanced node classification

Efficient Adaptive Label Refinement for label noise learning

Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion

Synthesizing stronger nodes for minority classes in imbalanced node classification

Learning instrumental variable representation for debiasing in recommender systems

Graph Attention-Based Dual Enhancement for Multiview Clustering

Fusing beyond homophily and low-frequency information in graph neural networks

GS-CBR-KBQA: Graph-structured case-based reasoning for knowledge base question answering

Link prediction in multilayer networks using weighted reliable local random walk algorithm

GraphDHV: Graph Neural Network with Dual Hybrid View on Imbalanced Node Classification

Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems

Joint Graph Augmentation and Adaptive Synthetic Sampling for Imbalanced Node Classification

A Temporal Knowledge Graph Embedding Model Based on Variable Translation

Identifying local useful information for attribute graph anomaly detection

Multi-view representation model based on graph autoencoder

Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties

Aspect sentiment analysis with heterogeneous graph neural networks

Entity Relations Based Pointer-Generator Network for Abstractive Text Summarization

Balanced Spectral Clustering Algorithm Based on Feature Selection

Graph convolutional networks of reconstructed graph structure with constrained Laplacian rank

Sparse Graph Connectivity for Image Segmentation

Extract the backbone links and the weakness nodes via community detection

一种基于校园物联网实验平台的大数据存储模型

一种基于KNN的半监督分类改进算法

一种新的基于软集合理论的文本分类方法

半监督分类技术及其算法研究

预印本

Multi-view Remote Sensing Image Clustering via Local–Global Graph Representation Learning

研究方向