World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
22527
World Ranking
2281
National Ranking
70

Overview

Shirui Pan is affiliated with Griffith University in Australia with a research focus centered primarily in the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology, and Statistical and Nonlinear Physics.

The main topics of their research contributions include:

  • Advanced Graph Neural Networks
  • Topic Modeling
  • Recommender Systems and Techniques
  • Complex Network Analysis Techniques
  • Time Series Analysis and Forecasting
  • Anomaly Detection Techniques and Applications
  • Domain Adaptation and Few-Shot Learning

Shirui Pan has published a significant number of papers in various reputable venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems
  • Neural Networks
  • IEEE Transactions on Knowledge and Data Engineering

Some of their recent papers are:

  • "Unifying Large Language Models and Knowledge Graphs: A Roadmap," 2024, IEEE Transactions on Knowledge and Data Engineering
  • "A Survey on Knowledge Graphs: Representation, Acquisition, and Applications," 2021, IEEE Transactions on Neural Networks and Learning Systems (authored by Shaoxiong Ji, a frequent collaborator in the field)
  • "Graph Self-Supervised Learning: A Survey," 2022, IEEE Transactions on Knowledge and Data Engineering (authored by Yixin Liu)
  • "Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning," 2021, IEEE Transactions on Neural Networks and Learning Systems (authored by Yixin Liu)
  • "A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning," 2021, IEEE Transactions on Knowledge and Data Engineering (authored by Di Jin)

Coauthorship is consistent and extensive with frequent collaboration across multiple authors including Yizhen Zheng, Ming Jin, Chuan Zhou, Yixin Liu, and Linhao Luo, reflecting a collaborative approach to research over dozens of publications.

In addition to journal papers, Shirui Pan has contributed to book publications through Springer Science+Business Media, notably with titles such as "Advanced Data Mining and Applications" published in 2022.

Best Publications

  • A Comprehensive Survey on Graph Neural Networks

    Zonghan Wu;Shirui Pan;Fengwen Chen;Guodong Long

  • A Survey on Knowledge Graphs: Representation, Acquisition and Applications

    Shaoxiong Ji;Shirui Pan;Erik Cambria;Pekka Marttinen

  • Graph WaveNet for Deep Spatial-Temporal Graph Modeling

    Zonghan Wu;Shirui Pan;Guodong Long;Jing Jiang

  • Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

    Zonghan Wu;Shirui Pan;Guodong Long;Jing Jiang

  • Adversarially regularized graph autoencoder for graph embedding

    Shirui Pan;Ruiqi Hu;Guodong Long;Jing Jiang

  • DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding

    Tao Shen;Tianyi Zhou;Guodong Long;Jing Jiang

  • Unifying Large Language Models and Knowledge Graphs: A Roadmap

    Unknown

  • Attributed Graph Clustering: a Deep Attentional Embedding approach

    Chun Wang;Shirui Pan;Ruiqi Hu;Guodong Long

  • Graph Self-Supervised Learning: A Survey

    Yixin Liu;Shirui Pan;Ming Jin;Chuan Zhou

  • Tri-party deep network representation

    Shirui Pan;Jia Wu;Xingquan Zhu;Chengqi Zhang

  • MGAE: Marginalized Graph Autoencoder for Graph Clustering

    Chun Wang;Shirui Pan;Guodong Long;Xingquan Zhu

  • A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning

    Di Jin;Zhizhi Yu;Pengfei Jiao;Shirui Pan

  • Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

    Yixin Liu;Zhao Li;Shirui Pan;Chen Gong

  • Learning Graph Embedding With Adversarial Training Methods

    Shirui Pan;Ruiqi Hu;Sai-Fu Fung;Guodong Long

  • Deep Learning for Time Series Anomaly Detection: A Survey

    Unknown

  • Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network

    Sheng Wan;Chen Gong;Ping Zhong;Shirui Pan

  • Supervised Learning for Suicidal Ideation Detection in Online User Content

    Shaoxiong Ji;Shaoxiong Ji;Celina Ping Yu;Sai-fu Fung;Shirui Pan

  • Iterative views agreement: an iterative low-rank based structured optimization method to multi-view spectral clustering

    Yang Wang;Wenjie Zhang;Lin Wu;Xuemin Lin

  • Unifying Large Language Models and Knowledge Graphs: A Roadmap

    Unknown

  • Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications

    Shaoxiong Ji;Shirui Pan;Xue Li;Erik Cambria

  • Learning Private Neural Language Modeling with Attentive Aggregation

    Shaoxiong Ji;Shirui Pan;Guodong Long;Xue Li

  • Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning.

    Sheng Wan;Shirui Pan;Jian Yang;Chen Gong

  • Advances in processing, mining, and learning complex data: from foundations to real-world applications

    Jia Wu;Shirui Pan;Chuan Zhou;Gang Li

  • Unsupervised Domain Adaptive Graph Convolutional Networks

    Man Wu;Shirui Pan;Chuan Zhou;Xiaojun Chang

  • Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning

    Ming Jin;Yizhen Zheng;Yuan-Fang Li;Chen Gong

Frequent Co-Authors

Chengqi Zhang
Chengqi Zhang Hong Kong Polytechnic University
Jia Wu
Jia Wu Macquarie University
Guodong Long
Guodong Long University of Technology Sydney
Xingquan Zhu
Xingquan Zhu Florida Atlantic University
Xue Li
Xue Li University of Queensland
Peng Zhang
Peng Zhang Huazhong University of Science and Technology
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Zi Huang
Zi Huang University of Queensland
Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Bo Du
Bo Du Wuhan University

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