Publication

Selected Publications (google scholar)


Tutorial

  1. CIKM
    Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings
    Bo Xiong, Mojtaba Nayyeri, Daniel Daza, and Michael Cochez
    ACM International Conference on Information and Knowledge Management 2023
  2. KDD
    Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications
    Min Zhou, Menglin Yang,  Bo Xiong, Hui Xiong, and Irwin King
    The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2023

Book Chapter

  1. Chapter
    Geometric Relational Embeddings: Progress and Prospects
    Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, Steffen Staab
    Handbook on Neurosymbolic AI and Knowledge Graphs 2025
    Link

    Preprint

    1. arXiv
      Is Complex Query Answering Really Complex?
      Cosimo Gregucci,  Bo Xiong, Daniel Hernandez, Lorenzo Loconte, Pasquale Minervini, Steffen Staab, and Antonio Vergari
      arXiv preprint arXiv:2410.12537 2024
      arXiv

      Conference/Journal

      2025

      1. ICLR
        From Tokens to Lattices: Emergent Lattice Structure in Language Models
        Bo Xiong, and Steffen Staab
        International Conference on Learning Representation 2025
        arXiv
      2. TPAMI
        Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
        Ming Jin, Guangsi Shi, Yuan-Fang Li, Bo Xiong, Tian Zhou, Flora D Salim, Liang Zhao, Lingfei Wu, Qingsong Wen, Shirui Pan
        IEEE Transactions on Pattern Analysis and Machine Intelligence 2025
        Arxiv
      3. WWW
        MaSH: Maximal Separating Poincaré Hyperplanes for Hierarchical Imbalanced Learning
        Bo Xiong, Jiaying Lu, Yuqicheng Zhu, and Carl Yang
        Short Paper Track at The Web Conference 2025
        arXiv
      4. WWW
        DAGE: DAG Query Answering via Relational Combinator with Logical Constraints
        Yunjie He,  Bo Xiong, Daniel Hernández, Yuqicheng Zhu, Evgeny Kharlamov, and Steffen Staab
        The Web Conference 2025
        arXiv
      5. NAACL
        Conformalized Answer Set Prediction for Knowledge Graph Embedding
        Yuqicheng Zhu, Nico Potyka, Jiarong Pan,  Bo Xiong, Yunjie He, Evgeny Kharlamov, and Steffen Staab
        Annual Conference of the North American Chapter of the Association for Computational Linguistics 2025
        arXiv
      6. PAKDD
        ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
        Linhao Luo, Jiaxin Ju,  Bo Xiong, Yuan-Fang Li, Gholamreza Haffari, and Shirui Pan
        Pacific-Asia Conference on Knowledge Discovery and Data Mining 2025

      2024

      1. AAAI
        NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning
        Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, and Steffen Staab
        The 38th Annual AAAI Conference on Artificial Intelligence 2024
        arXiv Code
      2. EMNLP
        Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction
        Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri,  Bo Xiong, Yunjie He, Evgeny Kharlamov, and Steffen Staab
        Findings of the Association for Computational Linguistics 2024
        arXiv
      3. EMNLP
        LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments
        Ruirui Chen, Weifeng Jiang, Chengwei Qin, Ishaan Singh Rawal, Cheston Tan, Dongkyu Choi,  Bo Xiong, and Bo Ai
        Findings of the Association for Computational Linguistics 2024
        arXiv
      4. EMNLP
        Temporal Fact Reasoning over Hyper-relational Knowledge Graphs
        Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia,  Bo Xiong, and Volker Tresp
        Findings of the Association for Computational Linguistics 2024
        arXiv Code
      5. CIKM
        HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures
        Eric Lee,  Bo Xiong, Carl Yang, and Joyce Ho
        The ACM International Conference on Information and Knowledge Management 2024
      6. ECAI
        Generating SROI Ontologies via Knowledge Graph Query Embedding Learning
        Yunjie He, Daniel Hernandaza, Mojtaba Nayyeri,  Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, and Steffen Staab
        Proceedings of the 27th European Conference on Artificial Intelligence 2024
        arXiv
      7. AMIA
        Enhancing Semantic and Structure Modeling of Diseases for Diagnosis Prediction
        Hang Lv, Zehai Chen, Yacong Yang, Shuyao Pan,  Bo Xiong, Yanchao Tan, and Carl Yang
        Proceedings of the American Medical Informatics Association Informatics Summit 2024
      8. NAACL
        zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
        Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao,  Bo Xiong, and Volker Tresp
        Annual Conference of the North American Chapter of the Association for Computational Linguistics 2024
        arXiv Code
      9. ICDE
        Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation
        Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo,  Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, and Carl Yang
        The 40th IEEE International Conference on Data Engineering 2024
        arXiv

      2023

      1. ACL
        Shrinking Embeddings for Hyper-Relational Knowledge Graphs
        Bo Xiong, Mojtaba Nayyeri, Shirui Pan, and Steffen Staab
        The 61st Annual Meeting of the Association for Computational Linguistics 2023
        arXiv Code
      2. ACL
        Knowledge Graph Embeddings using Neural Itô Process: From Multiple Walks to Stochastic Trajectories
        Mojtaba Nayyeri,  Bo Xiong, Majid Mohammadi, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Jens Lehmann, and Steffen Staab
        Findings of the 61st Annual Meeting of the Association for Computational Linguistics 2023
        arXiv Code
      3. SIGIR
        HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting
        Jiaying Lu, Jiaming Shen,  Bo Xiong, Wenjing Ma, Steffen Staab, and Carl Yang
        The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval 2023
        arXiv
      4. ISWC
        Towards Statistical Reasoning with Ontology Embeddings
        Yuqicheng Zhu, Nico Potyka,  Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab, and Evgeny Kharlamov
        The 21st International Semantic Web Conference (Poster & Demo Track) 2023
      5. ISWC
        Can Pattern Learning Enhance Complex Logical Query Answering?
        Yunjie He, Mojtaba Nayyeri,  Bo Xiong, Evgeny Kharlamov, and Steffen Staab
        The 21st International Semantic Web Conference (Poster & Demo Track) 2023

      2022

      1. NeurIPS
        Pseudo-Riemannian Graph Convolutional Networks
        Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, and Steffen Staab
        Advances in Neural Information Processing Systems 2022
        arXiv Code
      2. NeurIPS
        Hyperbolic Embedding Inference for Structured Multi-Label Prediction
        Bo Xiong, Michael Cochez, Mojtaba Nayyeri, and Steffen Staab
        Advances in Neural Information Processing Systems 2022
        arXiv Code
      3. ISWC
        Faithful Embeddings for EL++ Knowledge Bases
        Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, and Steffen Staab
        Best Student Paper, International Semantic Web Conference 2022
        arXiv Code
      4. KDD
        Ultrahyperbolic Knowledge Graph Embeddings
        Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chenjin Xu, Shirui Pan, Chuan Zhou, and Steffen Staab.
        The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2022
        arXiv Code
      5. WWW
        Time-Aware Entity Alignment using Temporal Relational Attention
        Chenjin Xu, Fenglong Su,  Bo Xiong, and Jens Lehmann
        ACM The Web Conference 2022

      Dissertation

      1. Dissertation
        Geometric Relational Embeddings
        Bo Xiong
        PhD Dissertation, University of Stuttgart 2024
        arXiv