# CausalKG: Causal Knowledge Graph Explainability Using Interventional and Counterfactual Reasoning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/causalkg-causal-knowledge-graph-explainability-using-interventional-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Utkarshani Jaimini,Amit Sheth |
| Citations | 37 |
| DOI | 10.1109/mic.2021.3133551 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4210909814 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Utkarshani Jaimini](https://scholariq.org/researchers/utkarshani-jaimini/)

## Paper primary topic

- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)

## Paper topics

- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)
- [Bayesian Modeling and Causal Inference](https://scholariq.org/topics/bayesian-modeling-and-causal-inference/)
- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)

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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.