Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare.

[BibT_eX]

[DOI]

Yanchao Tan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Is Complex Query Answering Really Complex?

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

From Tokens to Lattices: Emergent Lattice Structures in Language Models.

[BibT_eX]

[DOI]

Bo Xiong

Steffen Staab

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SEMMA: A Semantic Aware Knowledge Graph Foundation Model.

[BibT_eX]

[DOI]

Ponnurangam Kumaraguru

Antonio Vergari

Steffen Staab

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Hierarchical Perception-Improving for Decentralized Multi-Robot Motion Planning in Complex Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., July, 2024

Code for Pseudo-Riemannian Graph Convolutional Networks.

[BibT_eX]

[DOI]

Dataset, July, 2024

Code for Ultrahyperbolic Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

Dataset, July, 2024

Code for Faithful Embeddings for EL++ Knowledge Bases.

[BibT_eX]

[DOI]

Dataset, July, 2024

Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs.

[BibT_eX]

[DOI]

Dataset, July, 2024

Replication Data for NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning (AAAI'24).

[BibT_eX]

[DOI]

Dataset, July, 2024

Code for Hyperbolic Embedding Inference for Structured Multi-Label Prediction.

[BibT_eX]

[DOI]

Dataset, July, 2024

Geometric relational embeddings.

[BibT_eX]

[DOI]

Bo Xiong

PhD thesis, 2024

Visual Representation Learning Guided By Multi-modal Prior Knowledge.

[BibT_eX]

[DOI]

CoRR, 2024

Hyperbolic Fine-tuning for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Geometric Relational Embeddings.

[BibT_eX]

[DOI]

Bo Xiong

CoRR, 2024

Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

CoRR, 2024

Refining SemOpenAlex concept ontology: A constraint-aware approach via knowledge graph embeddings and SKOS constraints.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2024

Alleviating Over-Smoothing via Aggregation over Compact Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Generating SROI- Ontologies via Knowledge Graph Query Embedding Learning.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects.

[BibT_eX]

[DOI]

CoRR, 2023

How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting?

[BibT_eX]

[DOI]

CoRR, 2023

Geometric Relational Embeddings: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Statistical Reasoning with Ontology Embeddings.

[BibT_eX]

[DOI]

Proceedings of the ISWC 2023 Posters, 2023

Can Pattern Learning Enhance Complex Logical Query Answering?

[BibT_eX]

[DOI]

Proceedings of the ISWC 2023 Posters, 2023

Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Shrinking Embeddings for Hyper-Relational Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Box Embeddings for the Description Logic EL++.

[BibT_eX]

[DOI]

CoRR, 2022

Time-aware Entity Alignment using Temporal Relational Attention.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Faithful Embeddings for Eℒ++ Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2022, 2022

Pseudo-Riemannian Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hyperbolic Embedding Inference for Structured Multi-Label Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Ultrahyperbolic Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Learning semantic and relationship joint embedding for author name disambiguation.

[BibT_eX]

[DOI]

Bo Xiong

Peng Bao

Yilin Wu

Neural Comput. Appl., 2021

Semi-Riemannian Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2021

2020

MOFA: Modular Factorial Design for Hyperparameter Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

Bo Xiong

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