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04/06/2023
Retention Is All You Need
Skilled employees are usually seen as the most important pillar of an or...
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03/09/2022
Language Model-driven Negative Sampling
Knowledge Graph Embeddings (KGEs) encode the entities and relations of a...
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07/03/2021
Trans4E: Link Prediction on Scholarly Knowledge Graphs
The incompleteness of Knowledge Graphs (KGs) is a crucial issue affectin...
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04/11/2021
Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings
Among the top approaches of recent years, link prediction using knowledg...
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10/13/2020
Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations
Knowledge Graph Embeddings (KGEs) have shown promising performance on li...
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06/08/2020
5* Knowledge Graph Embeddings with Projective Transformations
Performing link prediction using knowledge graph embedding (KGE) models ...
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07/09/2019
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function
Translation-based embedding models have gained significant attention in ...
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04/27/2019
Soft Marginal TransE for Scholarly Knowledge Graph Completion
Knowledge graphs (KGs), i.e. representation of information as a semantic...
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07/18/2018
Unveiling Scholarly Communities over Knowledge Graphs
Knowledge graphs represent the meaning of properties of real-world entit...
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11/13/2017
