Daniel Daza

About Daniel Daza

Daniel Daza, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Vrije Universiteit Amsterdam, specializes in the field of Machine learning, relational learning, graphs.

His recent articles reflect a diverse array of research interests and contributions to the field:

GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks

Approximate answering of graph queries

Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring

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

Adapting Neural Link Predictors for Data-Efficient Complex Query Answering

Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings

SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning

Complex Query Answering with Neural Link Predictors (Extended Abstract)

Daniel Daza Information

University

Position

and University of Amsterdam

Citations(all)

235

Citations(since 2020)

235

Cited By

6

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Daniel Daza Skills & Research Interests

Machine learning

relational learning

graphs

Top articles of Daniel Daza

Title

Journal

Author(s)

Publication Date

GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks

arXiv preprint arXiv:2310.03399

Taraneh Younesian

Thiviyan Thanapalasingam

Emile van Krieken

Daniel Daza

Peter Bloem

2023/10/5

Approximate answering of graph queries

Compendium of Neurosymbolic Artificial Intelligence, IOS Press

Michael Cochez

Dimitrios Alivanistos

Erik Arakelyan

Max Berrendorf

Daniel Daza

...

2023/8/12

Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring

arXiv preprint arXiv:2308.02622

Qingzhi Hu

Daniel Daza

Laurens Swinkels

Kristina Ūsaitė

Robbert-Jan't Hoen

...

2023/8/4

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

Journal of Biomedical Semantics

Daniel Daza

Dimitrios Alivanistos

Payal Mitra

Thom Pijnenburg

Michael Cochez

...

2023/12/8

Adapting Neural Link Predictors for Data-Efficient Complex Query Answering

Advances in Neural Information Processing Systems

Erik Arakelyan

Pasquale Minervini

Daniel Daza

Michael Cochez

Isabelle Augenstein

2024/2/13

Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings

Bo Xiong

Mojtaba Nayyeri

Daniel Daza

Michael Cochez

2023/10/21

SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning

Daniel Daza

Michael Cochez

Paul Groth

2022/5

Complex Query Answering with Neural Link Predictors (Extended Abstract)

Pasquale Minervini

Erik Arakelyan

Daniel Daza

Michael Cochez

2022

Inductive Entity Representations from Text via Link Prediction

Daniel Daza

Michael Cochez

Paul Groth

2021/4/19

Approximate knowledge graph query answering: from ranking to binary classification

Ruud van Bakel

Teodor Aleksiev

Daniel Daza

Dimitrios Alivanistos

Michael Cochez

2021

Message Passing Query Embedding

arXiv preprint arXiv:2002.02406

Daniel Daza

Michael Cochez

2020/2/6

See List of Professors in Daniel Daza University(Vrije Universiteit Amsterdam)