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 ‚Äúunderstand‚ÄĚ how the world is interconnected. To achieve this, I am conducting fundamental research in two primary areas:

Machine learning for structured/relational data
  • Learning on graph-structured data [NeurIPS‚Äô22a,ACL‚Äô23,AAAI‚Äô24]
  • Neuro-symbolic learning [NeurIPS‚Äô22b, ISWC‚Äô22, ICDE‚Äô24]: imposing structure and knowledge in machine learning
  • Geometric representation learning [NeurIPS‚Äô22a, NeurIPS‚Äô22b, KDD‚Äô22], e.g., exploiting data geometry for machine learning
Neural & symbolic knowledge representation
  • Knowledge graphs [KDD‚Äô22, ACL‚Äô23, AAAI‚Äô24]: embedding, construction, and reasoning
  • Semantic web and ontologies [ISWC‚Äô22, ISWC‚Äô23]: Description logic and ontology reasoning
  • Symbolic knowledge meets large language models [NAACL‚Äô24, Arxiv‚Äô24]: combining structured knowledge with language models
  • Applications: healthcare, biomedicine, etc.


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

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

Conference & Journal

  1. 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
  2. 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
  3. 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
  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
  2. ACL Findings
    Knowledge Graph Embeddings using Neural It√ī 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
  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-Short Paper 2023
  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
  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
  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
  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
  5. WWW
    Time-Aware Entity Alignment using Temporal Relational Attention
    Chenjin Xu, Fenglong Su,  Bo Xiong, and Jens Lehmann
    ACM The Web Conference 2022