About Me

I am a final-year Ph.D. student at Monash University, supervised by Prof. Shirui Pan, Dr. Daokun Zhang, and A/Prof. Vincent Lee. I obtained my B.S. degree and M.S. degree from Beihang University in 2017 and 2020, respectively. My research interests are in graph representation learning and graph neural networks, with a special focus on unsupervised and weak-supervised scenarios. I am a recipient of the Google Ph.D. Fellowship in 2022.


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

Towards Self-Interpretable Graph-Level Anomaly Detection
Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan
Advances in Neural Information Processing Systems (NeurIPS), 2023
[Paper] [Code]

Learning Strong Graph Neural Networks with Weak Information
Yixin Liu, Kaize Ding, Jianling Wang, Vincent Lee, Huan Liu, Shirui Pan
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
[Paper] [Code]

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent Lee, Shirui Pan
AAAI Conference on Artificial Intelligence (AAAI), 2023 (Oral)
[Paper] [Code]

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Yue Tan*, Yixin Liu*, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2023 (Oral)
[Paper] [Code]

GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan
ACM International Conference on Web Search and Data Mining (WSDM), 2023 (Oral)
[Paper] [Code]

Graph Self-Supervised Learning: A Survey
Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022

Towards Unsupervised Deep Graph Structure Learning
Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
The Web Conference (WWW), 2022 (Best Paper Award candidate)
[Paper] [Code]

Anomaly Detection in Dynamic Graphs via Transformer
Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Qingfeng Chen, Vincent Lee
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
[Paper] [Code]

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
[Paper] [Code]


  • Ph.D. (2021-present) in Monash University

  • M.S. (2017-2020) in Beihang University

  • B.S. (2013-2017) in Beihang University


  • Amazon, Applied Scientist Intern, 2023.

  • Monash University, Research Assistant, 2021.

  • Alibaba, Research Intern, 2020.


  • Email: yixin.liu[at]monash[dot]edu

  • Office: Level 2, 25 Exhibition Walk, Clayton, VIC 3800