Universal Preprocessing Operators for Embedding Knowledge Graphs with Literals

6 September 2023

Papers citing "Universal Preprocessing Operators for Embedding Knowledge Graphs with Literals"

6 / 6 papers shown

Title
ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs using Numeric Literals Antonis Klironomos Baifan Zhou Zhuoxun Zheng Gad-Elrab Mohamed Heiko Paulheim Evgeny Kharlamov 48 0 0 01 Apr 2025
Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs R. T. Sousa Heiko Paulheim 70 0 0 26 Mar 2025
Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes Prediction Rita T. Sousa Heiko Paulheim 22 1 0 23 Apr 2024
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks Tim Schwabe Maribel Acosta 17 3 0 02 Mar 2023
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Mehdi Ali M. Berrendorf Charles Tapley Hoyt Laurent Vermue Sahand Sharifzadeh Volker Tresp Jens Lehmann 39 142 0 28 Jul 2020
Knowledge Graphs on the Web -- an Overview Nicolas Heist S. Hertling Daniel Ringler Heiko Paulheim 38 67 0 02 Mar 2020