About Me

Hi! I am Shiyuan Li (李世源), a PhD student in computer science at Griffith University, advised by Prof. Shirui Pan. My research interests mainly focus on the areas of artificial intelligence and data mining, particularly in graph representation learning and graph foundation model. Previously, I received my master’s degree in computer science from Guangxi University, advised by Prof. Qingfeng Chen, and my bachelor degree of information and computing science from Changsha University.

News

Selected Papers (first-author/co-first-author)

FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
Yunfeng Zhao*, Yixin Liu*, Shiyuan Li*, Qingfeng Chen, Yu Zheng, Shirui Pan
ACM International Conference on Information & Knowledge Management (CIKM), 2025
[Paper] [Code]

Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan
arXiv (under review)
[Paper] [Code]

Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach
Qingfeng Chen*, Shiyuan Li*, Yixin Liu, Shirui Pan, Geoffrey I. Webb, Shichao Zhang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025
[Paper] [Code]

ARC: A Generalist Graph Anomaly Detector with in-Context Learning
Yixin Liu*, Shiyuan Li*, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
Advances in Neural Information Processing Systems (NeurIPS), 2024
[Paper] [Code]

Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
Shiyuan Li*, Yixin Liu*, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan
ACM International Conference on Information & Knowledge Management (CIKM), 2024
[Paper] [Code]

Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only
Shiyuan Li, Qingfeng Chen, Zhixian Liu, Shirui Pan, Shichao Zhang
Knowledge-based Systems (KBS), 2024
[Paper] [Code]

Awards

  • National Scholarship (only 1% for postgraduate students), 2024
  • Outstanding Graduate in Hunan (only 4%), 2022
  • National Scholarship (only 0.2% for undergraduate students), 2021

Contact

  • Emails: li[dot]lshiy511[at]gmail[dot]lcom; shiy[dot]li[at]alu[dot]gxu[dot]edu[dot]cn