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07/13/2023
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
Knowledge Graph Embedding (KGE) models are used to learn continuous repr...
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12/23/2022
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
We study the problem of combining neural networks with symbolic reasonin...
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08/23/2022
Prompting as Probing: Using Language Models for Knowledge Base Construction
Language Models (LMs) have proven to be useful in various downstream app...
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07/21/2021
Relational Graph Convolutional Networks: A Closer Look
In this paper, we describe a reproduction of the Relational Graph Convol...
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04/02/2021
The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles
Classifying research papers according to their research topics is an imp...
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03/24/2021
Ontology-Based Recommendation of Editorial Products
Major academic publishers need to be able to analyse their vast catalogu...
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03/26/2019
