Research

Research Interests

Humans understand the world by establishing entities, concepts, and their mutual connections. My research aims to understand human knowledge and teach machines to “understand” how the world is interconnected. To achieve this, I am conducting fundamental research in the following areas:

Machine learning on relational data
  • Learning on graph-structured data [NeurIPS’22a,ACL’23,AAAI’24, CIKM’24]
  • Geometric representation learning [NeurIPS’22a, NeurIPS’22b, KDD’22], e.g., exploiting data geometry for machine learning
  • Application in healthcare and biomedicine, etc. [AMIA’24, SIGIR’23]
Neural & symbolic knowledge representation
  • Knowledge graphs [KDD’22, ACL’23, AAAI’24]: embedding, construction, and reasoning
  • Semantic web and ontologies [ISWC’22, ISWC’23]: Description logic and ontology reasoning
Interpretable and reliable AI
  • Neuro-symbolic learning [NeurIPS’22b, ISWC’22, ICDE’24]: imposing structure and knowledge in machine learning
  • Symbolic knowledge meets large language models [NAACL’24, Arxiv’24]: combining structured knowledge with language models


Selected Publications (google scholar)


Book Chapter

  1. Chapter
    Geometric Relational Embeddings: Progress and Prospects
    Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, and Steffen Staab
    Handbook on Neurosymbolic AI and Knowledge Graphs 2024

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

Conference & Journal

  1. 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
  2. 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
  3. 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
  4. LLM Cog@ICML
    Enhancing LLM Complex Reasoning Capability through Hyperbolic Geometry
    Menglin Yang, Aosong Feng,  Bo Xiong, Jiahong Liu, Irwin King, and Rex Ying
    Workshop on LLMs and Cognition, International Conference on Machine Learning 2024
  5. 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
  6. 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
  7. 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
  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 Findings
    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
  1. 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
  2. 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
  3. ISWC
    Faithful Embeddings for EL++ Knowledge Bases
    Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, and Steffen Staab
    The 21st International Semantic Web Conference (Best Student Paper) 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

Preprint

  1. arXiv
    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
    arXiv preprint 2024
  2. arXiv
    How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting?
    Ming Jin, Guangsi Shi, Yuan-Fang Li, Qingsong Wen,  Bo Xiong, Tian Zhou, and Shirui Pan
    arXiv preprint 2024
  1. Survey
    Geometric Relational Embeddings: A Survey
    Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, and Steffen Staab
    arXiv preprint 2023

Dissertation

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