Heritage Science

Table 6 The comparative results of knowledge completion

From: Using knowledge graphs and deep learning algorithms to enhance digital cultural heritage management

Model	MR	MRR	Hits@1	Hits@3	Hits@10
TansE	166	0.213	0.043	0.440	0.539
ConvKB	94	0.275	0.062	0.445	0.562
R-GCN	477	0.138	0.083	0.133	0.209
Our model	139	0.477	0.417	0.499	0.590

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