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Comprehensible Artificial Intelligence on Knowledge Graphs: A survey

Comprehensible Artificial Intelligence on Knowledge Graphs: A survey

4 April 2024
Simon Schramm
C. Wehner
Ute Schmid
ArXivPDFHTML

Papers citing "Comprehensible Artificial Intelligence on Knowledge Graphs: A survey"

6 / 6 papers shown
Title
Context-Awareness and Interpretability of Rare Occurrences for Discovery and Formalization of Critical Failure Modes
Context-Awareness and Interpretability of Rare Occurrences for Discovery and Formalization of Critical Failure Modes
Sridevi Polavaram
Xin Zhou
Meenu Ravi
Mohammad Zarei
Anmol Srivastava
19
0
0
18 Apr 2025
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
Christoph Wehner
Chrysa Iliopoulou
Ute Schmid
Tarek R. Besold
60
0
0
03 Jun 2024
Interactive and Intelligent Root Cause Analysis in Manufacturing with
  Causal Bayesian Networks and Knowledge Graphs
Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs
C. Wehner
Maximilian Kertel
Judith Wewerka
53
4
0
20 Jan 2024
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
167
593
0
31 Dec 2020
Neurosymbolic AI: The 3rd Wave
Neurosymbolic AI: The 3rd Wave
Artur Garcez
Luís C. Lamb
NAI
65
292
0
10 Dec 2020
Semantics of the Black-Box: Can knowledge graphs help make deep learning
  systems more interpretable and explainable?
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?
Manas Gaur
Keyur Faldu
A. Sheth
37
113
0
16 Oct 2020
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