Daniel Daza

28 papers A* 4A 1Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Counting Still Counts: Understanding Neural Complex Query Answering Through Query Relaxation.
Trans. Mach. Learn. Res.
Yannick Brunink, Daniel Daza, Yunjie He, Michael Cochez
2026 J jnl
Explaining Graph Neural Networks for Node Similarity on Graphs.
Trans. Mach. Learn. Res.
Daniel Daza, Cuong Xuan Chu, Trung-Kien Tran, Daria Stepanova, Michael Cochez, Paul Groth
2026 J jnl
Tabular Foundation Models Can Learn Association Rules.
CoRR
Erkan Karabulut, Daniel Daza, Paul Groth, Martijn C. Schut, Victoria Degeler
2025 J jnl
Counting Still Counts: Understanding Neural Complex Query Answering Through Query Relaxation.
CoRR
Yannick Brunink, Daniel Daza, Yunjie He, Michael Cochez
2025 — conf
Discovering Association Rules in High-Dimensional Small Tabular Data.
ANSyA@ECAI
Erkan Karabulut, Daniel Daza, Paul Groth, Victoria Degeler
2025 J jnl
Discovering Association Rules in High-Dimensional Small Tabular Data.
CoRR
Erkan Karabulut, Daniel Daza, Paul Groth, Victoria Degeler
2025 J jnl
EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge.
CoRR
Klim Zaporojets, Daniel Daza, Edoardo Barba, Ira Assent, Roberto Navigli, Paul Groth
2025 J jnl
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks.
Trans. Mach. Learn. Res.
Taraneh Younesian, Daniel Daza, Emile van Krieken, Thiviyan Thanapalasingam, Peter Bloem
2025 J jnl
Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints.
CoRR
Daniel Daza, Alberto Bernardi, Luca Costabello, Christophe Guéret, Masoud Mansoury, Michael Cochez, Martijn Schut
2024 J jnl
Explaining Graph Neural Networks for Node Similarity on Graphs.
CoRR
Daniel Daza, Cuong Xuan Chu, Trung-Kien Tran, Daria Stepanova, Michael Cochez, Paul Groth
2024 — conf
UnRavL: A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs.
LoG
Tamara Cucumides, Daniel Daza, Pablo Barceló, Michael Cochez, Floris Geerts, Juan L. Reutter, Miguel Romero
2023 A* conf
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering.
NeurIPS
Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
2023 J jnl
Approximate Answering of Graph Queries.
CoRR
Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
2023 — ch.
Approximate Answering of Graph Queries.
Compendium of Neurosymbolic Artificial Intelligence
Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
2023 J jnl
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs.
CoRR
Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth
2023 J jnl
BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs.
J. Biomed. Semant.
Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth
2023 J jnl
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks.
CoRR
Taraneh Younesian, Thiviyan Thanapalasingam, Emile van Krieken, Daniel Daza, Peter Bloem
2023 J jnl
Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring.
CoRR
Qingzhi Hu, Daniel Daza, Laurens Swinkels, Kristina Usaite, Robbert-Jan 't Hoen, Paul Groth
2023 A conf
Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings.
CIKM
Bo Xiong, Mojtaba Nayyeri, Daniel Daza, Michael Cochez
2022 A* conf
Complex Query Answering with Neural Link Predictors (Extended Abstract).
IJCAI
Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez
2022 — conf
SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning.
SPNLP@ACL
Daniel Daza, Michael Cochez, Paul Groth
2021 J jnl
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification.
CoRR
Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez
2021 A* conf
Complex Query Answering with Neural Link Predictors.
ICLR
Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez
2021 A* conf
Inductive Entity Representations from Text via Link Prediction.
WWW
Daniel Daza, Michael Cochez, Paul Groth
2020 — conf
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification.
GKR
Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez
2020 J jnl
Complex Query Answering with Neural Link Predictors.
CoRR
Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez
2020 J jnl
Inductive Entity Representations from Text via Link Prediction.
CoRR
Daniel Daza, Michael Cochez, Paul Groth
2020 J jnl
Message Passing for Query Answering over Knowledge Graphs.
CoRR
Daniel Daza, Michael Cochez