Table 1.

The designed framework based on explainability type, the use of KG, and machine learning model.

XAI Type	KGC	FE	RE	RS
Pre-model	RNN (34) DNN (35)	CNN (32,36)
	NLP (24,37,38) CNN (25,39)	LSTM (40) DNN (41)	GNN (42) LSTM (40,43)
	GNN [31] DRL [30]	NLP (37,44)	NLP (38,45)
	NB [19] Clustering [23]	CNN (46) DNN (47)	RL (48) Clustering (23)
	LSTM (40,43)	NB (19) DT (9,20)
In-model	RNN (49)		DT (50) RNN (28)	NLP (24,45)
	NLP (51)	DNN [33]	GNN (52) FM (53)	DT (37)
	GNN [21]		ResNet (54)	DRL [30]
Post-model		XGBoost (ensemble) [55]		DNN (47)
		CNN, RNN [22]	NN (56)	LSTM [29]
		GNN (42) DT (57)	GRU [18]	CNN (29,36,39)
				DNN (35,58)