Scholar
Daniel Daza
Google Scholar ID: VR4a4QIAAAAJ
Amsterdam UMC
Citations & Impact
Citations
445
H-index
7
i10-index
7
Publications
18
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published several academic papers, including:
- - GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
- - UnRavL: A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs
- - Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
- - BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
- - SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning
- - Inductive Entity Representations from Text via Link Prediction
Research Experience
- Currently a postdoctoral researcher at the Translational AI Laboratory in the Amsterdam University Medical Center.
Education
- PhD defended cum laude. Thesis available at the provided link.
Background
- Research interests include machine learning methods that help us structure and exploit our knowledge about the world, with applications to search and scientific discovery. This includes methods for information extraction and knowledge graph construction from text, as well as algorithms for graph representation learning, link prediction, and complex query answering over incomplete KGs.
Miscellany
- Provides more information about his research work through links to Google Scholar, LinkedIn, and GitHub.
Co-authors