Yixin Liu

According to our database, Yixin Liu authored at least 27 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Emerging trends in federated learning: from model fusion to federated X learning.

Shaoxiong Ji, Yue Tan, Teemu Saravirta, Zhiqin Yang, Yixin Liu, Lauri Vasankari, Shirui Pan, Guodong Long, Anwar Walid

Int. J. Mach. Learn. Cybern., September, 2024

Integrating Graphs With Large Language Models: Methods and Prospects.

Shirui Pan, Yizhen Zheng, Yixin Liu

IEEE Intell. Syst., 2024

Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark.

Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Kaize Ding, Rui Miao, Ying Wang, Shirui Pan, Xin Wang

CoRR, 2024

ARC: A Generalist Graph Anomaly Detector with In-Context Learning.

Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan

CoRR, 2024

Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise.

Kaize Ding, Xiaoxiao Ma, Yixin Liu, Shirui Pan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation.

Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Self-Supervision Improves Diffusion Models for Tabular Data Imputation.

Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.

Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection.

Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen

IEEE Trans. Knowl. Data Eng., December, 2023

Anomaly Detection in Dynamic Graphs via Transformer.

Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Qingfeng Chen, Vincent Cheng-Siong Lee

IEEE Trans. Knowl. Data Eng., December, 2023

Graph Self-Supervised Learning: A Survey.

Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu

IEEE Trans. Knowl. Data Eng., June, 2023

Towards Data-centric Graph Machine Learning: Review and Outlook.

Xin Zheng, Yixin Liu, Zhifeng Bao, Meng Fang, Xia Hu, Alan Wee-Chung Liew, Shirui Pan

CoRR, 2023

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks.

Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou, Xiang Li, Lifang He, Brian D. Davison, Quanzheng Li, Yong Chen, Hongfang Liu, Lichao Sun

CoRR, 2023

GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection.

Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Towards Self-Interpretable Graph-Level Anomaly Detection.

Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Strong Graph Neural Networks with Weak Information.

Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection.

Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan

Proceedings of the IEEE International Conference on Data Mining, 2023

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing.

Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating.

Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Cyclic label propagation for graph semi-supervised learning.

Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu

World Wide Web, 2022

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

Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis

IEEE Trans. Neural Networks Learn. Syst., 2022

Graph Neural Networks for Graphs with Heterophily: A Survey.

Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu

CoRR, 2022

From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach.

Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen

CoRR, 2022

Towards Unsupervised Deep Graph Structure Learning.

Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Anomaly Detection in Dynamic Graphs via Transformer.

Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Vincent C. S. Lee

CoRR, 2021

Graph Self-Supervised Learning: A Survey.

Yixin Liu, Shirui Pan, Ming Jin, Chuan Zhou, Feng Xia, Philip S. Yu

CoRR, 2021

ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning.

Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021