Publications

2026

1. arXiv

   Unsupervised Graph Representation Learning with Complementary View Alignment

   Zengyi Wo, Shiyu Zhang, Qiyao Peng, and 2 more authors

   arXiv preprint arXiv:2607.24338, 2026

   DOI arXiv Bib HTML PDF

   @article{wo2026aligngae,
     title = {Unsupervised Graph Representation Learning with Complementary View Alignment},
     author = {Wo, Zengyi and Zhang, Shiyu and Peng, Qiyao and Li, Tianpeng and Guo, Xuan},
     journal = {arXiv preprint arXiv:2607.24338},
     year = {2026},
     doi = {10.48550/arXiv.2607.24338}
   }

2. SIGIR’26

   Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment

   Yuhang Liu, Minglai Shao, Zengyi Wo, and 5 more authors

   In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2026

   Oral Presentation DOI arXiv Bib HTML PDF

   Oral Presentation

   @inproceedings{liu2026sigir,
     title = {Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment},
     author = {Liu, Yuhang and Shao, Minglai and Wo, Zengyi and Chu, Yunlong and Hao, Bing and Liu, Shengzhong and Wang, Ruijie and Li, Jianxin},
     booktitle = {Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval},
     address = {Melbourne, Australia},
     pages = {1209--1220},
     publisher = {ACM},
     year = {2026},
     doi = {10.1145/3805712.3809579},
   }

3. AAAI’26

   LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs

   Bing Hao, Minglai Shao, Zengyi Wo, and 3 more authors

   In Proceedings of the 40th AAAI Conference on Artificial Intelligence, 2026

   Oral Presentation DOI arXiv Bib HTML PDF

   Oral Presentation

   @inproceedings{hao2026aaai,
     title = {LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs},
     author = {Hao, Bing and Shao, Minglai and Wo, Zengyi and Chu, Yunlong and Liu, Yuhang and Wang, Ruijie},
     booktitle = {Proceedings of the 40th AAAI Conference on Artificial Intelligence},
     address = {Singapore},
     pages = {14802--14810},
     publisher = {AAAI Press},
     year = {2026},
     doi = {10.1609/AAAI.V40I17.38500},
   }

2025

1. arXiv

   Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization

   Yunlong Chu, Minglai Shao, Zengyi Wo, and 4 more authors

   arXiv preprint arXiv:2510.21207, 2025

   DOI arXiv Bib HTML PDF

   @article{chu2025adaptive,
     title = {Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization},
     author = {Chu, Yunlong and Shao, Minglai and Wo, Zengyi and Hao, Bing and Liu, Yuhang and Wang, Ruijie and Li, Jianxin},
     journal = {arXiv preprint arXiv:2510.21207},
     year = {2025},
     doi = {10.48550/arXiv.2510.21207}
   }

2. arXiv

   Addressing Graph Anomaly Detection via Causal Edge Separation and Spectrum

   Zengyi Wo, Wenjun Wang, Minglai Shao, and 3 more authors

   arXiv preprint arXiv:2508.14684, 2025

   DOI arXiv Bib HTML PDF

   @article{wo2025anomaly,
     title = {Addressing Graph Anomaly Detection via Causal Edge Separation and Spectrum},
     author = {Wo, Zengyi and Wang, Wenjun and Shao, Minglai and Liu, Chang and Wang, Yumeng and Sun, Yueheng},
     journal = {arXiv preprint arXiv:2508.14684},
     year = {2025},
     doi = {10.48550/arXiv.2508.14684}
   }

3. arXiv

   Improving Fairness in Graph Neural Networks via Counterfactual Debiasing

   Zengyi Wo, Chang Liu, Yumeng Wang, and 2 more authors

   arXiv preprint arXiv:2508.14683, 2025

   DOI arXiv Bib HTML PDF

   @article{wo2025fairness,
     title = {Improving Fairness in Graph Neural Networks via Counterfactual Debiasing},
     author = {Wo, Zengyi and Liu, Chang and Wang, Yumeng and Shao, Minglai and Wang, Wenjun},
     journal = {arXiv preprint arXiv:2508.14683},
     year = {2025},
     doi = {10.48550/arXiv.2508.14683}
   }

4. IJCAI’25

   Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks

   Yumeng* Wang, Zengyi* Wo, Wenjun Wang, and 2 more authors

   In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

   *Equal contribution

   DOI arXiv Bib HTML PDF

   @inproceedings{wang2025ijcai,
     title = {Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks},
     author = {Wang, Yumeng{} and Wo, Zengyi{} and Wang, Wenjun and Fu, Xingcheng and Shao, Minglai},
     booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence},
     address = {Montreal, Canada},
     pages = {6506--6514},
     publisher = {ijcai.org},
     year = {2025},
     doi = {10.24963/IJCAI.2025/724},
     note = {*Equal contribution}
   }

5. KDD’25

   Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection

   Zengyi Wo, Minglai Shao, Shiyu Zhang, and 1 more author

   In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025

   Oral Presentation DOI Bib HTML Code

   Oral Presentation

   @inproceedings{wo2025kdd,
     title = {Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection},
     author = {Wo, Zengyi and Shao, Minglai and Zhang, Shiyu and Wang, Ruijie},
     booktitle = {Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
     address = {Toronto, Canada},
     pages = {3180--3191},
     publisher = {ACM},
     year = {2025},
     doi = {10.1145/3711896.3737031},
   }

6. DASFAA’25

   Mining Denoising Complementarity and Consistent Consensus for Unsupervised Multiplex Graph Representation Learning

   Chang Liu, Zengyi Wo, Minglai Shao, and 2 more authors

   In Database Systems for Advanced Applications, 2025

   DOI Bib HTML

   @inproceedings{liu2025dasfaa,
     title = {Mining Denoising Complementarity and Consistent Consensus for Unsupervised Multiplex Graph Representation Learning},
     author = {Liu, Chang and Wo, Zengyi and Shao, Minglai and Wang, Wenjun and Tian, Qin},
     booktitle = {Database Systems for Advanced Applications},
     address = {Singapore},
     series = {Lecture Notes in Computer Science},
     volume = {15988},
     pages = {286--296},
     publisher = {Springer},
     year = {2025},
     doi = {10.1007/978-981-95-3906-2_19}
   }

2024

1. WWW’24

   Graph Contrastive Learning via Interventional View Generation

   Zengyi Wo, Minglai Shao, Wenjun Wang, and 2 more authors

   In Proceedings of the ACM Web Conference 2024, 2024

   Oral Presentation DOI Bib HTML Code

   Oral Presentation

   @inproceedings{wo2024www,
     title = {Graph Contrastive Learning via Interventional View Generation},
     author = {Wo, Zengyi and Shao, Minglai and Wang, Wenjun and Guo, Xuan and Lin, Lu},
     booktitle = {Proceedings of the ACM Web Conference 2024},
     address = {Singapore},
     pages = {1024--1034},
     publisher = {ACM},
     year = {2024},
     doi = {10.1145/3589334.3645687},
   }