ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. - Ming Jin 005; Yixin Liu 001; Yu Zheng 013; Lianhua Chi; Yuan-Fang Li; Shirui Pan (CIKM, 2021)

Graph Self-Supervised Learning: A Survey. - Yixin Liu 001; Shirui Pan; Ming Jin 005; Chuan Zhou 001; Feng Xia 001; Philip S. Yu (CoRR, 2021)

Anomaly Detection in Dynamic Graphs via Transformer. - Yixin Liu 001; Shirui Pan; Yu Guang Wang 001; Fei Xiong; Liang Wang 017; Vincent C. S. Lee (CoRR, 2021)

Towards Unsupervised Deep Graph Structure Learning. - Yixin Liu 001; Yu Zheng 013; Daokun Zhang; Hongxu Chen 002; Hao Peng 001; Shirui Pan (WWW, 2022)

From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. - Yu Zheng 013; Ming Jin 005; Yixin Liu 001; Lianhua Chi; Khoa Tran Phan; Shirui Pan; Yi-Ping Phoebe Chen (CoRR, 2022)

Graph Neural Networks for Graphs with Heterophily: A Survey. - Xin Zheng 008; Yixin Liu 001; Shirui Pan; Miao Zhang; Di Jin 001; Philip S. Yu (CoRR, 2022)

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. - Yixin Liu 001; Zhao Li 007; Shirui Pan; Chen Gong 002; Chuan Zhou 001; George Karypis (IEEE Trans. Neural Networks Learn. Syst., 2022)

Cyclic label propagation for graph semi-supervised learning. - Zhao Li 007; Yixin Liu 001; Zhen Zhang 023; Shirui Pan; Jianliang Gao; Jiajun Bu (World Wide Web, 2022)

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. - Yixin Liu 001; Yizhen Zheng; Daokun Zhang; Vincent C. S. Lee; Shirui Pan (AAAI, 2023)

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. - Yue Tan; Yixin Liu 001; Guodong Long; Jing Jiang 002; Qinghua Lu 001; Chengqi Zhang (AAAI, 2023)

PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. - Junjun Pan; Yixin Liu 001; Yizhen Zheng; Shirui Pan (ICDM, 2023)

Learning Strong Graph Neural Networks with Weak Information. - Yixin Liu 001; Kaize Ding; Jianling Wang; Vincent C. S. Lee; Huan Liu 001; Shirui Pan (KDD, 2023)

Towards Self-Interpretable Graph-Level Anomaly Detection. - Yixin Liu 001; Kaize Ding; Qinghua Lu 001; Fuyi Li; Leo Yu Zhang; Shirui Pan (NeurIPS, 2023)

GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. - Yixin Liu 001; Kaize Ding; Huan Liu 001; Shirui Pan (WSDM, 2023)

Towards Data-centric Graph Machine Learning: Review and Outlook. - Xin Zheng 008; Yixin Liu 001; Zhifeng Bao; Meng Fang; Xia Hu; Alan Wee-Chung Liew; Shirui Pan (CoRR, 2023)

Graph Self-Supervised Learning: A Survey. - Yixin Liu 001; Ming Jin 005; Shirui Pan; Chuan Zhou 001; Yu Zheng 013; Feng Xia 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Anomaly Detection in Dynamic Graphs via Transformer. - Yixin Liu 001; Shirui Pan; Yu Guang Wang 001; Fei Xiong; Liang Wang 017; Qingfeng Chen; Vincent Cheng-Siong Lee (IEEE Trans. Knowl. Data Eng., 2023)

Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. - Yu Zheng 013; Ming Jin 005; Yixin Liu 001; Lianhua Chi; Khoa Tran Phan; Yi-Ping Phoebe Chen (IEEE Trans. Knowl. Data Eng., 2023)

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. - Luzhi Wang; Dongxiao He; He Zhang 012; Yixin Liu 001; Wenjie Wang; Shirui Pan; Di Jin 001; Tat-Seng Chua (AAAI, 2024)

Self-Supervision Improves Diffusion Models for Tabular Data Imputation. - Yixin Liu 001; Thalaiyasingam Ajanthan; Hisham Husain; Vu Nguyen 001 (CIKM, 2024)

Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. - Shiyuan Li; Yixin Liu 001; Qingfeng Chen; Geoffrey I. Webb; Shirui Pan (CIKM, 2024)

Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise. - Kaize Ding; Xiaoxiao Ma 002; Yixin Liu 001; Shirui Pan (KDD, 2024)

ARC: A Generalist Graph Anomaly Detector with In-Context Learning. - Yixin Liu 001; Shiyuan Li; Yu Zheng 013; Qingfeng Chen; Chengqi Zhang; Shirui Pan (NeurIPS, 2024)

Data-efficient graph learning: Problems, progress, and prospects. - Kaize Ding; Yixin Liu 001; Chuxu Zhang; Jianling Wang (AI Mag., 2024)

Integrating Graphs With Large Language Models: Methods and Prospects. - Shirui Pan; Yizhen Zheng; Yixin Liu 001 (IEEE Intell. Syst., 2024)

Emerging trends in federated learning: from model fusion to federated X learning. - Shaoxiong Ji; Yue Tan; Teemu Saravirta; Zhiqin Yang; Yixin Liu 001; Lauri Vasankari; Shirui Pan; Guodong Long; Anwar Walid (Int. J. Mach. Learn. Cybern., 2024)

A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection. - Junjun Pan; Yixin Liu 001; Xin Zheng 008; Yizhen Zheng; Alan Wee-Chung Liew; Fuyi Li; Shirui Pan (AAAI, 2025)

Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark. - Yili Wang 004; Yixin Liu 001; Xu Shen 002; Chenyu Li; Rui Miao 003; Kaize Ding; Ying Wang 009; Shirui Pan; Xin Wang 035 (ICLR, 2025)

SpecG: A Spectral-Based Framework for Effective Graph Pretraining and Knowledge Transfer. - Zizhe Jin; Yizhen Zheng; Linhao Luo; Yixin Liu 001; Xin Zheng 008; Xuefei Yin; Vincent Lee; Shirui Pan (PAKDD (2), 2025)

Out-of-Distribution Detection on Graphs: A Survey. - Tingyi Cai; Yunliang Jiang; Yixin Liu 001; Ming Li 065; Changqin Huang; Shirui Pan (CoRR, 2025)

Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling. - Xu Shen 002; Yixin Liu 001; Yili Wang 004; Rui Miao 003; Yiwei Dai; Shirui Pan; Xin Wang 035 (CoRR, 2025)

Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems. - Xu Shen 002; Yixin Liu 001; Yiwei Dai; Yili Wang 004; Rui Miao 003; Yue Tan; Shirui Pan; Xin Wang 035 (CoRR, 2025)

Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach. - Qingfeng Chen; Shiyuan Li; Yixin Liu 001; Shirui Pan; Geoffrey I. Webb; Shichao Zhang 001 (CoRR, 2025)

Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation. - Shiyuan Li; Yixin Liu 001; Qingsong Wen; Chengqi Zhang; Shirui Pan (CoRR, 2025)

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects. - Yixin Liu 001; Guibin Zhang; Kun Wang; Shiyuan Li; Shirui Pan (CoRR, 2025)

BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks. - Rui Miao 003; Yixin Liu 001; Yili Wang 004; Xu Shen 002; Yue Tan; Yiwei Dai; Shirui Pan; Xin Wang 035 (CoRR, 2025)

FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection. - Yunfeng Zhao; Yixin Liu 001; Shiyuan Li; Qingfeng Chen; Yu Zheng 013; Shirui Pan (CoRR, 2025)