Impact of Injecting Ground Truth Explanations on Relational Graph Convolutional Networks and their Explanation Methods for Link Prediction on Knowledge Graphs
Author:
Affiliation:
1. Inria, UCA, CNRS, I3S,Sophia Antipolis,France
2. CortAIx, Thales,Montreal,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10101871/10101874/10102088.pdf?arnumber=10102088
Reference15 articles.
1. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2. Interpretable machine learning: Fundamental principles and 10 grand challenges;rudin;CoRR,2021
3. "How do I fool you?"
4. The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations
5. Using graded relevance assessments in IR evaluation
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