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04/28/2023
LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals
Most real-world knowledge graphs, including Wikidata, DBpedia, and Yago ...
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03/03/2023
Learning Permutation-Invariant Embeddings for Description Logic Concepts
Concept learning deals with learning description logic concepts from a b...
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07/18/2022
Hardware-agnostic Computation for Large-scale Knowledge Graph Embeddings
Knowledge graph embedding research has mainly focused on learning contin...
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05/30/2022
Conformal Credal Self-Supervised Learning
In semi-supervised learning, the paradigm of self-training refers to the...
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05/13/2022
Kronecker Decomposition for Knowledge Graph Embeddings
Knowledge graph embedding research has mainly focused on learning contin...
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11/08/2021
EvoLearner: Learning Description Logics with Evolutionary Algorithms
Classifying nodes in knowledge graphs is an important task, e.g., predic...
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07/10/2021
Prediction of concept lengths for fast concept learning in description logics
Concept learning approaches based on refinement operators explore partia...
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06/29/2021
DRILL– Deep Reinforcement Learning for Refinement Operators in 𝒜ℒ𝒞
Approaches based on refinement operators have been successfully applied ...
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06/29/2021
Convolutional Hypercomplex Embeddings for Link Prediction
Knowledge graph embedding research has mainly focused on the two smalles...
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05/26/2021
Out-of-Vocabulary Entities in Link Prediction
Knowledge graph embedding techniques are key to making knowledge graphs ...
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05/03/2021
MLCheck- Property-Driven Testing of Machine Learning Models
In recent years, we observe an increasing amount of software with machin...
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01/22/2021
A shallow neural model for relation prediction
Knowledge graph completion refers to predicting missing triples. Most ap...
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08/07/2020
Convolutional Complex Knowledge Graph Embeddings
In this paper, we study the problem of learning continuous vector repres...
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01/21/2020
