Daniel Daza

Orcid: 0000-0002-5357-3705

According to our database1, Daniel Daza authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Explaining Graph Neural Networks for Node Similarity on Graphs.
CoRR, 2024

2023
BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs.
J. Biomed. Semant., December, 2023

Approximate Answering of Graph Queries.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks.
CoRR, 2023

Approximate Answering of Graph Queries.
CoRR, 2023

Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring.
CoRR, 2023

Adapting Neural Link Predictors for Data-Efficient Complex Query Answering.
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.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Complex Query Answering with Neural Link Predictors (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning.
Proceedings of the Sixth Workshop on Structured Prediction for NLP, 2022

2021
Inductive WN18RR and FB15k-237.
Dataset, February, 2021

Inductive Entity Representations from Text via Link Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Complex Query Answering with Neural Link Predictors.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Message Passing for Query Answering over Knowledge Graphs.
CoRR, 2020

Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification.
Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2020


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