Daniel Ruffinelli

According to our database, Daniel Ruffinelli authored at least 13 papers between 2016 and 2023.

Collaborative distances:

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

2023

Knowledge graph embeddings: link prediction and beyond / Ruffinelli Daniel ; Betreuer: Rainer Gemulla.

Daniel Ruffinelli

PhD thesis, 2023

2022

KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models.

Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020

You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings.

Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla

Proceedings of the 8th International Conference on Learning Representations, 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

2019

On Evaluating Embedding Models for Knowledge Base Completion.

Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Samuel Broscheit, Christian Meilicke

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

An Introduction to AnyBURL.

Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt

Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019

Anytime Bottom-Up Rule Learning for Knowledge Graph Completion.

Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

On Evaluating Embedding Models for Knowledge Base Completion.

Yanjie Wang, Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla

CoRR, 2018

Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion.

Christian Meilicke, Manuel Fink, Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Heiner Stuckenschmidt

Proceedings of the Semantic Web - ISWC 2018, 2018

2017

Linear nearest neighbor optimization in quantum circuits: a multiobjective perspective.

Daniel Ruffinelli, Benjamín Barán

Quantum Inf. Process., 2017

Towards Scalable Ontological Reasoning using Machine Learning.

Daniel Ruffinelli

Proceedings of the Doctoral Consortium, 2017

Fast ABox Consistency Checking Using Incomplete Reasoning and Caching.

Christian Meilicke, Daniel Ruffinelli, Andreas Nolle, Heiko Paulheim, Heiner Stuckenschmidt

Proceedings of the Rules and Reasoning - International Joint Conference, 2017

2016

A multiobjective approach to linear nearest neighbor optimization for 2D quantum circuits.

Daniel Ruffinelli, Benjamín Barán

Proceedings of the XLII Latin American Computing Conference, 2016