# Comprehensible Artificial Intelligence on Knowledge Graphs: A survey

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/comprehensible-artificial-intelligence-on-knowledge-graphs-a-survey/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Simon Schramm,Christoph Wehner,Ute Schmid |
| Citations | 38 |
| DOI | 10.1016/j.websem.2023.100806 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2404.03499 |
| OpenAlex ID | https://openalex.org/W4386780130 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Christoph Wehner](https://scholariq.org/researchers/christoph-wehner/)

## Paper primary topic

- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)

## Paper topics

- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)
- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.