Scope
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The special issue aims to present a collection of state-of-the-art research papers in emerging technologies for the applications of recent trends in AI Empowered Intelligent Graph Computing, which is critical in many real-life applications such as social networks and biological networks. This special issue highlights the recent progress in novel AI-enhanced graph computational approaches that advance state-of-the-art graph computing techniques. We are soliciting original contributions that have not been published and are not currently under consideration by any other journals. Both theoretical studies and state-of-the-art practical applications are welcome for submission. All submitted papers will be peer-reviewed and selected on the basis of both their quality and their relevance to the theme of this special issue.



Topics of Interest
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This special issue solicits original research articles, experimental and review articles, and database/software articles. Topics of interest include, but are not limited to:

Graph representation learning for real-life applications such as finance, biological networks and social computing.
Parallel and distributed graph computing.
Hardware accelerated graph computing.
Graph theory and algorithms.
Graph database techniques.
Graph mining tasks such as clustering, outlier detection, classification and link prediction.
Performance optimization of graph computing.
Graph based security and privacy techniques.
Graph based Retrieval-Augmented Generation (RAG) techniques.
Graph simulation techniques.
Large Language Models for Graph Analytics.
Computing on heterogeneous, signed, attributed, and annotated graphs.

Guest Editors
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Jeffrey Xu Yu, Chinese University of Hong Kong, China
Wenjie Zhang, University of New South Wales, Australia
Ying Zhang, Zhejiang Gongshang University, China
Ji Zhang, University of Southern Queensland, Australia
Dawei Cheng, Tongji University, China
Kai Wang, Shanghai Jiao Tong University, China
Hanchen Wang, University of Technology Sydney, Australia

Submission Instructions
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Please indicate in your cover letter that your submission is intended for inclusion in the special issue.

Submission Deadline: December 12, 2024