2026-10-13T06:07:50Z https://www.scidb.cn/oai

10.11922/sciencedb.j00104.00031 2020-10-16T16:41:49Z

2020-10-16 Learning to Complete Knowledge Graphs with Deep Sequential Models doi:10.11922/sciencedb.j00104.00031 en Six tables and one figure of this paper. Table 1 is a comparison of existing models and ours. Table 2 shows statistics of the experimental data sets. Table 3 presents entity prediction results. Table 4 presents detailed entity prediction results on FB15K by relationship categories. Table 5 shows relation prediction results. Table 6 presents triple prediction results. Figure 1 shows different models for tail entity prediction. Note: White and black circles denote input and output, respectively. For BSKG and DSKG, light gray circles denote cells in the entity layer and dark gray circles denote cells in the relation layer. Knowledge graph; Entity prediction; Triple prediction; Recurrent neural network Lingbing Guo Qingheng Zhang Wei Hu Zequn Sun Yuzhong Qu PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.1162/dint_a_00016 Science Data Bank