Daniel Daza
Daniel Daza
Vrije Universiteit Amsterdam and University of Amsterdam
Geverifieerd e-mailadres voor vu.nl - Homepage
Geciteerd door
Geciteerd door
Complex Query Answering with Neural Link Predictors
E Arakelyan, D Daza, P Minervini, M Cochez
arXiv preprint arXiv:2011.03459, 2020
Inductive Entity Representations from Text via Link Prediction
D Daza, M Cochez, P Groth
Proceedings of the Web Conference 2021, 798-808, 2021
Message Passing Query Embedding
D Daza, M Cochez
arXiv preprint arXiv:2002.02406, 2020
Complex Query Answering with Neural Link Predictors (Extended Abstract)
P Minervini, E Arakelyan, D Daza, M Cochez
31st International Joint Conference on Artificial Intelligence, IJCAI 2022 …, 2022
Approximate knowledge graph query answering: from ranking to binary classification
R van Bakel, T Aleksiev, D Daza, D Alivanistos, M Cochez
Graph Structures for Knowledge Representation and Reasoning: 6th …, 2021
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
E Arakelyan, P Minervini, D Daza, M Cochez, I Augenstein
Thirty-seventh Conference on Neural Information Processing Systems, 2023
Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings
B Xiong, M Nayyeri, D Daza, M Cochez
Proceedings of the 32nd ACM International Conference on Information and …, 2023
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
D Daza, D Alivanistos, P Mitra, T Pijnenburg, M Cochez, P Groth
arXiv preprint arXiv:2306.03606, 2023
SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning
D Daza, M Cochez, P Groth
Proceedings of the Sixth Workshop on Structured Prediction for NLP, 32-39, 2022
A Modular Framework for Unsupervised Graph Representation Learning
DFD Cruz, T Kipf, M Welling
University of Amsterdam, 2019
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
T Younesian, T Thanapalasingam, E van Krieken, D Daza, P Bloem
arXiv preprint arXiv:2310.03399, 2023
Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring
Q Hu, D Daza, L Swinkels, K Ūsaitė, RJ Hoen, P Groth
arXiv preprint arXiv:2308.02622, 2023
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