Patrick Betz

According to our database, Patrick Betz authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Anytime bottom-up rule learning for large-scale knowledge graph completion.

Christian Meilicke, Melisachew Wudage Chekol, Patrick Betz, Manuel Fink, Heiner Stuckenschmidt

VLDB J., January, 2024

A*Net and NBFNet Learn Negative Patterns on Knowledge Graphs.

Patrick Betz, Nathanael Stelzner, Christian Meilicke, Heiner Stuckenschmidt, Christian Bartelt

CoRR, 2024

Rule Confidence Aggregation for Knowledge Graph Completion.

Patrick Betz, Stefan Lüdtke, Christian Meilicke, Heiner Stuckenschmidt

Proceedings of the Rules and Reasoning, 2024

PyClause - Simple and Efficient Rule Handling for Knowledge Graphs.

Patrick Betz, Luis Galárraga, Simon Ott, Christian Meilicke, Fabian M. Suchanek, Heiner Stuckenschmidt

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

On the Aggregation of Rules for Knowledge Graph Completion.

Patrick Betz, Stefan Lüdtke, Christian Meilicke, Heiner Stuckenschmidt

CoRR, 2023

Rule-based Knowledge Graph Completion with Canonical Models.

Simon Ott, Patrick Betz, Daria Stepanova, Mohamed H. Gad-Elrab, Christian Meilicke, Heiner Stuckenschmidt

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

2022

Adversarial Explanations for Knowledge Graph Embeddings.

Patrick Betz, Christian Meilicke, Heiner Stuckenschmidt

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Supervised Knowledge Aggregation for Knowledge Graph Completion.

Patrick Betz, Christian Meilicke, Heiner Stuckenschmidt

Proceedings of the Semantic Web - 19th International Conference, 2022

2021

Backpropagating through Markov Logic Networks.

Patrick Betz, Mathias Niepert, Pasquale Minervini, Heiner Stuckenschmidt

Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), 2021

Why a Naive Way to Combine Symbolic and Latent Knowledge Base Completion Works Surprisingly Well.

Christian Meilicke, Patrick Betz, Heiner Stuckenschmidt

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

2020

LibKGE - A knowledge graph embedding library for reproducible research.

Samuel Broscheit, Daniel Ruffinelli, Adrian Kochsiek, Patrick Betz, Rainer Gemulla

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020