Daniel Daza

According to our database, Daniel Daza authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

2025

EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge.

Klim Zaporojets, Daniel Daza, Edoardo Barba, Ira Assent, Roberto Navigli, Paul Groth

CoRR, July, 2025

GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks.

Taraneh Younesian, Daniel Daza, Emile van Krieken, Thiviyan Thanapalasingam, Peter Bloem

Trans. Mach. Learn. Res., 2025

2024

Explaining Graph Neural Networks for Node Similarity on Graphs.

Daniel Daza, Cuong Xuan Chu, Trung-Kien Tran, Daria Stepanova, Michael Cochez, Paul Groth

CoRR, 2024

UnRavL: A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs.

Tamara Cucumides, Daniel Daza, Pablo Barceló, Michael Cochez, Floris Geerts, Juan L. Reutter, Miguel Romero

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

2023

BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs.

Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth

J. Biomed. Semant., December, 2023

Approximate Answering of Graph Queries.

Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Approximate Answering of Graph Queries.

Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren

CoRR, 2023

Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring.

Qingzhi Hu, Daniel Daza, Laurens Swinkels, Kristina Usaite, Robbert-Jan 't Hoen, Paul Groth

CoRR, 2023

Adapting Neural Link Predictors for Data-Efficient Complex Query Answering.

Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings.

Bo Xiong, Mojtaba Nayyeri, Daniel Daza, Michael Cochez

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

2022

Complex Query Answering with Neural Link Predictors (Extended Abstract).

Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez

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

SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning.

Daniel Daza, Michael Cochez, Paul Groth

Proceedings of the Sixth Workshop on Structured Prediction for NLP, 2022

2021

Inductive WN18RR and FB15k-237.

Daniel Daza, Michael Cochez, Paul Groth

Dataset, February, 2021

Inductive Entity Representations from Text via Link Prediction.

Daniel Daza, Michael Cochez, Paul Groth

Proceedings of the WWW '21: The Web Conference 2021, 2021

Complex Query Answering with Neural Link Predictors.

Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Message Passing for Query Answering over Knowledge Graphs.

Daniel Daza, Michael Cochez

CoRR, 2020

Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification.

Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez

Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2020