Table 9.

List of explainable artificial intelligence studies that used layerwise relevance propagation.

Authors	Year	Objective	Data set(s)	Data type	Machine learning (ML)/Deep learning (DL)	Explained model
Grisci et al. [112]	2021	Propose relevance aggregation approach, a DL algorithm that correctly identifies which features are the most important for the network's predictions in an unstructured tabular data set	Curated Microarray Database (CuMiDa) [113]	Tabular unstructured data	DL	LSTM
Chereda et al. [114]	2021	Extend the procedure of LRP to make it available for Graph‐CNN (GCN) and test its applicability on a large breast cancer data set	Gene Expression Omnibus (GEO) [115]	Genomics data	DL	Graph‐CNN