MOFA: Modular Factorial Design for Hyperparameter Optimization. - Bo Xiong 001; Yimin Huang; Steffen Staab; Zhenguo Li (CoRR, 2020)

Semi-Riemannian Graph Convolutional Networks. - Bo Xiong 001; Shichao Zhu; Nico Potyka; Shirui Pan; Chuan Zhou 001; Steffen Staab (CoRR, 2021)

Learning semantic and relationship joint embedding for author name disambiguation. - Bo Xiong 001; Peng Bao; Yilin Wu (Neural Comput. Appl., 2021)

Ultrahyperbolic Knowledge Graph Embeddings. - Bo Xiong 001; Shichao Zhu; Mojtaba Nayyeri; Chengjin Xu; Shirui Pan; Chuan Zhou 001; Steffen Staab (KDD, 2022)

Hyperbolic Embedding Inference for Structured Multi-Label Prediction. - Bo Xiong 001; Michael Cochez; Mojtaba Nayyeri; Steffen Staab (NeurIPS, 2022)

Pseudo-Riemannian Graph Convolutional Networks. - Bo Xiong 001; Shichao Zhu; Nico Potyka; Shirui Pan; Chuan Zhou 001; Steffen Staab (NeurIPS, 2022)

Faithful Embeddings for Eℒ++ Knowledge Bases. - Bo Xiong 001; Nico Potyka; Trung-Kien Tran; Mojtaba Nayyeri; Steffen Staab (ISWC, 2022)

Time-aware Entity Alignment using Temporal Relational Attention. - Chengjin Xu; Fenglong Su; Bo Xiong 001; Jens Lehmann 001 (WWW, 2022)

Box Embeddings for the Description Logic EL++. - Bo Xiong 001; Nico Potyka; Trung-Kien Tran; Mojtaba Nayyeri; Steffen Staab (CoRR, 2022)

Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories. - Mojtaba Nayyeri; Bo Xiong 001; Majid Mohammadi; Mst. Mahfuja Akter; Mirza Mohtashim Alam; Jens Lehmann 001; Steffen Staab (ACL (Findings), 2023)

Shrinking Embeddings for Hyper-Relational Knowledge Graphs. - Bo Xiong 001; Mojtaba Nayyeri; Shirui Pan; Steffen Staab (ACL (1), 2023)

Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. - Bo Xiong 001; Mojtaba Nayyeri; Daniel Daza; Michael Cochez (CIKM, 2023)

Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications. - Min Zhou 006; Menglin Yang 001; Bo Xiong 001; Hui Xiong 001; Irwin King (KDD, 2023)

Can Pattern Learning Enhance Complex Logical Query Answering? - Yunjie He; Mojtaba Nayyeri; Bo Xiong 001; Yuqicheng Zhu; Evgeny Kharlamov; Steffen Staab (ISWC (Posters/Demos/Industry), 2023)

Towards Statistical Reasoning with Ontology Embeddings. - Yuqicheng Zhu; Nico Potyka; Bo Xiong 001; Trung-Kien Tran; Mojtaba Nayyeri; Steffen Staab; Evgeny Kharlamov (ISWC (Posters/Demos/Industry), 2023)

HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. - Jiaying Lu 001; Jiaming Shen; Bo Xiong 001; Wenjing Ma; Steffen Staab; Carl Yang 001 (SIGIR, 2023)

Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs. - Yunjie He; Mojtaba Nayyeri; Bo Xiong 001; Evgeny Kharlamov; Steffen Staab (CoRR, 2023)

Geometric Relational Embeddings: A Survey. - Bo Xiong 001; Mojtaba Nayyeri; Ming Jin 005; Yunjie He; Michael Cochez; Shirui Pan; Steffen Staab (CoRR, 2023)

How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting? - Ming Jin 005; Guangsi Shi; Yuan-Fang Li; Qingsong Wen; Bo Xiong 001; Tian Zhou 004; Shirui Pan (CoRR, 2023)

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects. - Jiapu Wang; Boyue Wang; Meikang Qiu; Shirui Pan; Bo Xiong 001; Heng Liu; Linhao Luo; Tengfei Liu 005; Yongli Hu; Baocai Yin; Wen Gao 001 (CoRR, 2023)

Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. - Zifeng Ding; Heling Cai; Jingpei Wu; Yunpu Ma; Ruotong Liao; Bo Xiong 001; Volker Tresp (CoRR, 2023)

NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. - Bo Xiong 001; Mojtaba Nayyeri; Linhao Luo; Zihao Wang; Shirui Pan; Steffen Staab (AAAI, 2024)

HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures. - Eric Wonhee Lee; Bo Xiong 001; Carl Yang 001; Joyce C. Ho (CIKM, 2024)

Generating SROI- Ontologies via Knowledge Graph Query Embedding Learning. - Yunjie He; Daniel Hernández 002; Mojtaba Nayyeri; Bo Xiong 001; Yuqicheng Zhu; Evgeny Kharlamov; Steffen Staab (ECAI, 2024)

LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments. - Ruirui Chen 002; Weifeng Jiang; Chengwei Qin; Ishaan Singh Rawal; Cheston Tan; Dongkyu Choi; Bo Xiong 001; Bo Ai 008 (EMNLP (Findings), 2024)

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs. - Zifeng Ding; Jingcheng Wu; Jingpei Wu; Yan Xia 003; Bo Xiong 001; Volker Tresp (EMNLP (Findings), 2024)

Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction. - Yuqicheng Zhu; Nico Potyka; Mojtaba Nayyeri; Bo Xiong 001; Yunjie He; Evgeny Kharlamov; Steffen Staab (EMNLP (Findings), 2024)

Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. - Yanchao Tan; Hang Lv 010; Zihao Zhou; Wenzhong Guo; Bo Xiong 001; Weiming Liu 005; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ICDE, 2024)

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 001; Volker Tresp (NAACL-HLT, 2024)

Alleviating Over-Smoothing via Aggregation over Compact Manifolds. - Dongzhuoran Zhou; Hui Yang; Bo Xiong 001; Yue Ma 009; Evgeny Kharlamov (PAKDD (2), 2024)

Refining SemOpenAlex concept ontology: A constraint-aware approach via knowledge graph embeddings and SKOS constraints. - Özge Erten; Shervin Mehryar; Bo Xiong 001; Remzi Çelebi; Christopher Brewster (SWAT4HCLS, 2024)

Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings. - Yuqicheng Zhu; Nico Potyka; Bo Xiong 001; Trung-Kien Tran; Mojtaba Nayyeri; Evgeny Kharlamov; Steffen Staab (CoRR, 2024)

Geometric Relational Embeddings. - Bo Xiong 001 (CoRR, 2024)

Hyperbolic Fine-tuning for Large Language Models. - Menglin Yang 001; Aosong Feng; Bo Xiong 001; Jihong Liu; Irwin King; Rex Ying (CoRR, 2024)

Visual Representation Learning Guided By Multi-modal Prior Knowledge. - Hongkuan Zhou; Lavdim Halilaj; Sebastian Monka; Stefan Schmid 002; Yuqicheng Zhu; Bo Xiong 001; Steffen Staab (CoRR, 2024)

Geometric relational embeddings. - Bo Xiong 001 (2024)

Code for Hyperbolic Embedding Inference for Structured Multi-Label Prediction. - Bo Xiong 001; Mojtaba Nayyeri; Michael Cochez; Steffen Staab (DaRUS, 2024)

Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24). - Bo Xiong 001; Mojtaba Nayyeri; Linhao Luo; Zihao Wang; Shirui Pan; Steffen Staab (DaRUS, 2024)

Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs. - Bo Xiong 001; Mojtaba Nayyeri; Shirui Pan; Steffen Staab (DaRUS, 2024)

Code for Faithful Embeddings for EL++ Knowledge Bases. - Bo Xiong 001; Nico Potyka; Trung-Kien Tran; Mojtaba Nayyeri; Steffen Staab (DaRUS, 2024)

Code for Ultrahyperbolic Knowledge Graph Embeddings. - Bo Xiong 001; Shichao Zhu; Mojtaba Nayyeri; Chengjin Xu; Shirui Pan; Steffen Staab (DaRUS, 2024)

Code for Pseudo-Riemannian Graph Convolutional Networks. - Bo Xiong 001; Shichao Zhu; Nico Potyka; Shirui Pan; Chuan Zhou 001; Steffen Staab (DaRUS, 2024)

Hierarchical Perception-Improving for Decentralized Multi-Robot Motion Planning in Complex Scenarios. - Yunjie Jia; Yong Song 005; Bo Xiong 001; Jiyu Cheng; Wei Zhang 021; Simon X. Yang; Sam Kwong (IEEE Trans. Intell. Transp. Syst., 2024)

Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings. - Yuqicheng Zhu; Daniel Hernández 002; Yuan He 008; Zifeng Ding; Bo Xiong 001; Evgeny Kharlamov; Steffen Staab (ACL (Findings), 2025)

SEMMA: A Semantic Aware Knowledge Graph Foundation Model. - Arvindh Arun; Sumit Kumar; Mojtaba Nayyeri; Bo Xiong 001; Ponnurangam Kumaraguru; Antonio Vergari; Steffen Staab (EMNLP, 2025)

From Tokens to Lattices: Emergent Lattice Structures in Language Models. - Bo Xiong 001; Steffen Staab (ICLR, 2025)

Is Complex Query Answering Really Complex? - Cosimo Gregucci; Bo Xiong 001; Daniel Hernández 002; Lorenzo Loconte; Pasquale Minervini; Steffen Staab; Antonio Vergari (ICML, 2025)

BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare. - Yanchao Tan; Hang Lv 010; Yunfei Zhan; Guofang Ma; Bo Xiong 001; Carl Yang 001 (ICML, 2025)

Conformalized Answer Set Prediction for Knowledge Graph Embedding. - Yuqicheng Zhu; Nico Potyka; Jiarong Pan; Bo Xiong 001; Yunjie He; Evgeny Kharlamov; Steffen Staab (NAACL (Long Papers), 2025)

ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation. - Yuqicheng Zhu; Nico Potyka; Daniel Hernández 002; Yuan He 008; Zifeng Ding; Bo Xiong 001; Dongzhuoran Zhou; Evgeny Kharlamov; Steffen Staab (NeSy, 2025)

ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning. - Linhao Luo; Jiaxin Ju; Bo Xiong 001; Yuan-Fang Li; Gholamreza Haffari; Shirui Pan (PAKDD (2), 2025)

DAGE: DAG Query Answering via Relational Combinator with Logical Constraints. - Yunjie He; Bo Xiong 001; Daniel Hernández 002; Yuqicheng Zhu; Evgeny Kharlamov; Steffen Staab (WWW, 2025)

MaSH: Maximal Separating Poincaré Hyperplanes for Hierarchical Imbalanced Learning. - Bo Xiong 001; Jiaying Lu 001; Yuqicheng Zhu; Carl Yang 001 (WWW (Companion Volume), 2025)

Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting. - Ming Jin 005; Guangsi Shi; Yuan-Fang Li; Bo Xiong 001; Tian Zhou 004; Flora D. Salim; Liang Zhao 002; Lingfei Wu 001; Qingsong Wen; Shirui Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Are Large Language Models Effective Knowledge Graph Constructors? - Ruirui Chen 002; Weifeng Jiang; Chengwei Qin; Bo Xiong 001; Fiona Liausvia; Dongkyu Choi; Boon Kiat Quek (CoRR, 2025)

Alleviating over-smoothing via aggregation over compact manifolds (extended version). - Dongzhuoran Zhou; Hui Yang; Bo Xiong 001; Yue Ma 009; Evgeny Kharlamov (Int. J. Data Sci. Anal., 2025)