- Logic Meets Language: Hybrid Query Answering over Incomplete Text-Labeled Graphs
Yunjie He, Bo Xiong, Daniel Hernández, Yuqicheng Zhu, Yi Wang, Evgeny Kharlamov, and Steffen Staab
Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026)[ACL Anthology][PDF]
- The Lattice Representation Hypothesis in Large Language Models
Bo Xiong
International Conference on Learning Representations 2026[Details]
- Approximating probabilistic inference in statistical EL with knowledge graph embeddings
Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Evgeny Kharlamov, and Steffen Staab
Annual Conference on Uncertainty in Artificial Intelligence (UAI) 2026[arXiv]
- Hyperbolic Fine-Tuning for Large Language Models
Menglin Yang, Ram Samarth B B, Aosong Feng, Bo Xiong, Jiahong Liu, Irwin King, and Rex Ying
Advances in Neural Information Processing Systems 2025Spotlight[arXiv]
- Is Complex Query Answering Really Complex?
Cosimo Gregucci, Bo Xiong, Daniel Hernández, Lorenzo Loconte, Pasquale Minervini, Steffen Staab, and Antonio Vergari
International Conference on Machine Learning 2025Spotlight[arXiv]
- BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare
Yanchao Tan, Hang Lv, Yunfei Zhan, Guofang Ma, Bo Xiong, and Carl Yang
International Conference on Machine Learning 2025[Details]
- From Tokens to Lattices: Emergent Lattice Structure in Language Models
Bo Xiong, and Steffen Staab
International Conference on Learning Representations 2025[arXiv]
- SEMMA: A Semantic Aware Knowledge Graph Foundation Model
Arvindh Arun, Sumit Kumar, Mojtaba Nayyeri, Bo Xiong, Ponnurangam Kumaraguru, Antonio Vergari, and Steffen Staab
The Conference on Empirical Methods in Natural Language Processing 2025[Details]
- 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[Details]
- 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]
- 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, and Shirui Pan
IEEE Transactions on Pattern Analysis and Machine Intelligence 2025[Details]
- 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]
- ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation
Yuqicheng Zhu, Nico Potyka, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Dongzhuoran Zhou, Evgeny Kharlamov, and Steffen Staab
International Conference on Neurosymbolic Learning and Reasoning (NeSy) 2025[Paper]
- Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
Yuqicheng Zhu, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Evgeny Kharlamov, and Steffen Staab
Findings of the Association for Computational Linguistics (ACL Findings) 2025[Paper]
- Few-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks
Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, and Hanghang Tong
ACM International Conference on Information and Knowledge Management (CIKM) 2025[Paper]
- 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 (PAKDD) 2025[Paper]
- Enhancing LLM Complex Reasoning Capability through Hyperbolic Geometry
Menglin Yang, Aosong Feng, Bo Xiong, Jiahong Liu, Irwin King, and Rex Ying
ICML Workshop on LLMs and Cognition 2024[Paper]
- 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]
- 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]
- 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]
- 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]
- 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[Details]
- Generating SROI− Ontologies via Knowledge Graph Query Embedding Learning
Yunjie He, Daniel Hernández, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov, and Steffen Staab
Proceedings of the 27th European Conference on Artificial Intelligence 2024[arXiv]
- 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[Details]
- 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]
- 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[Details]
- 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]
- 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[Code]
- 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]
- Towards Statistical Reasoning with Ontology Embeddings
Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab, and Evgeny Kharlamov
The 22nd International Semantic Web Conference (Poster & Demo Track) 2023[Details]
- Can Pattern Learning Enhance Complex Logical Query Answering?
Yunjie He, Mojtaba Nayyeri, Bo Xiong, Evgeny Kharlamov, and Steffen Staab
The 22nd International Semantic Web Conference (Poster & Demo Track) 2023[Details]
- 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]
- Hyperbolic Embedding Inference for Structured Multi-Label Prediction
Bo Xiong, Michael Cochez, Mojtaba Nayyeri, and Steffen Staab
Advances in Neural Information Processing Systems 2022[Code]
- 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]
- 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]
- Time-Aware Entity Alignment using Temporal Relational Attention
Chenjin Xu, Feilong Su, Bo Xiong, and Jens Lehmann
ACM The Web Conference 2022[Details]
