基于关系聚合的时序知识图谱表示学习

苏丰龙,景宁

Temporal knowledge graph representation learning based on relational aggregation

Feng-long SU,Ning JING

表 4 TA-GAT在时序知识图谱上的对齐结果

Tab.4 Alignment results of TA-GAT on temporal knowledge graphs

模型 DICEWS-1K DICEWS-200 YAGO-WIKI50K MRR Hits@1 Hits@10 MRR Hits@1 Hits@10 MRR Hits@1 Hits@10 MTransE 0.150 0.101 0.241 0.104 0.067 0.175 0.322 0.242 0.477 JAPE 0.198 0.144 0.298 0.138 0.098 0.210 0.345 0.271 0.488 AlignE 0.593 0.508 0.751 0.303 0.222 0.457 0.800 0.756 0.883 GCN-Align 0.291 0.204 0.466 0.231 0.165 0.363 0.581 0.512 0.711 MuGNN 0.617 0.525 0.794 0.412 0.367 0.583 0.808 0.762 0.890 MRAEA 0.745 0.675 0.870 0.564 0.476 0.733 0.848 0.806 0.913 RREA 0.780 0.722 0.883 0.719 0.659 0.824 0.868 0.828 0.938 TU-GAT 0.748 0.681 0.870 0.576 0.489 0.739 0.815 0.767 0.902 TA-GAT $\underline{\underline {\boldsymbol{0.900} } } $ $\underline{\underline {\boldsymbol{0.876} } } $ $\underline{\underline {\boldsymbol{0.942} } } $ $\underline{\underline {\boldsymbol{0.849} } } $ $\underline{\underline {\boldsymbol{0.815} } } $ $\underline{\underline {\boldsymbol{0.909} } } $ $\underline{\underline {\boldsymbol{0.903} } } $ $\underline{\underline {\boldsymbol{0.871} } } $ $\underline{\underline {\boldsymbol{0.959} } } $ Imp/% 15.38 21.33 6.68 18.08 23.67 10.31 4.03 5.19 2.23