Pan, Shirui

A Comprehensive Survey on Graph Neural Networks

Wu, Z., Pan, S., Chen, F., Long, G., Zhang, C., & Yu, P. S. (2021) · IEEE Transactions on Neural Networks and Learning Systems

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 11,000

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

Ji, S., Pan, S., Cambria, E., Marttinen, P., & Yu, P. S. (2022) · IEEE Transactions on Neural Networks and Learning Systems

Advanced Graph Neural NetworksTopic Modeling

Cited by 2,947

Unifying Large Language Models and Knowledge Graphs: A Roadmap

Pan, S., Luo, L., Wang, Y., Chen, C., Wang, J., & Wu, X. (2024) · IEEE Transactions on Knowledge and Data Engineering

Topic ModelingAdvanced Graph Neural Networks

Cited by 1,376

Adversarially Regularized Graph Autoencoder for Graph Embedding

Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 929

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding

Shen, T., Zhou, T., Long, G., Jiang, J., Pan, S., & Zhang, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 779

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Jin, M., Koh, H. Y., Wen, Q., Zambon, D., Alippi, C., Webb, G. I., King, I., & Pan, S. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Time Series Analysis and ForecastingAdvanced Graph Neural Networks

Cited by 567

Memory in the Age of AI Agents

Hu, Y., Liu, S., Yue, Y., Zhang, G., Liu, B., Zhu, F., Lin, J., Guo, H., Dou, S., Xi, Z., et al. (2025) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 389

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Zhang, K., Wen, Q., Zhang, C., Cai, R., Jin, M., Liu, Y., Zhang, J. Y., Liang, Y., Pang, G., Song, D., et al. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Time Series Analysis and ForecastingDomain Adaptation and Few-Shot Learning

Cited by 295

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Jin, M., Wang, S., Ma, L., Chu, Z., Zhang, J. Y., Shi, X., Chen, P.-Y., Liang, Y., Li, Y.-F., Pan, S., et al. (2023) · arXiv

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 276

Anomaly Detection in Dynamic Graphs via Transformer

Liu, Y., Pan, S., Wang, Y. G., Xiong, F., Wang, L., Chen, Q., & Lee, V. C. (2023) · IEEE Transactions on Knowledge and Data Engineering

Advanced Graph Neural NetworksAnomaly Detection Techniques and Applications

Cited by 169

PSICHIC: physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data

Koh, H. Y., Nguyen, A. T. N., Pan, S., May, L. T., & Webb, G. I. (2023) · Nature Machine Intelligence

Computational Drug Discovery MethodsMachine Learning in Bioinformatics

Cited by 108

Binarized attributed network embedding

Yang, H., Pan, S., Zhang, P., Chen, L., Lian, D., & Zhang, C. (2018) · 2018 IEEE International Conference on Data Mining (ICDM)

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 102

Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization

Zhang, M., Li, H., Pan, S., Chang, X., & Su, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 83

Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation

Li, M., Cai, W., Verspoor, K., Pan, S., Liang, X., & Chang, X. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 60

Discrete Network Embedding

Shen, X., Pan, S., Liu, W., Ong, Y.-S., & Sun, Q.-S. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 57

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

Luo, L., Li, Y.-F., Haffari, G., & Pan, S. (2023) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 56

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

Pan, J., Liu, Y., Zheng, Y., & Pan, S. (2023) · 2023 IEEE International Conference on Data Mining (ICDM)

Advanced Graph Neural NetworksAnomaly Detection Techniques and Applications

Cited by 32

Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models

Luo, L., Zhao, Z., Haffari, G., Li, Y.-F., Gong, C., & Pan, S. (2024) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 8

Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems

Shen, X., Liu, Y., Dai, Y., Wang, Y., Miao, R., Tan, Y., Pan, S., & Wang, X. (2025) · arXiv

Multi-Agent Systems and NegotiationDistributed Control Multi-Agent Systems

Cited by 6

LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions

Lin, X., Ning, Y., Zhang, J., Dong, Y., Liu, Y., Wu, Y., Qi, X., Sun, N., Shang, Y., Wang, K., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks

Miao, R., Liu, Y., Wang, Y., Shen, X., Tan, Y., Dai, Y., Pan, S., & Wang, X. (2025) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 2

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities

Bei, Y., Zhang, W., Wang, S., Chen, W., Zhou, S., Chen, H., Li, Y., Bu, J., Pan, S., Yu, Y., et al. (2025) · arXiv

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 0