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 3
TA-GAT在时序知识图谱上的补全结果
Tab.3
Complementary results of TA-GAT on temporal knowledge graphs
模型
ICEWS14
ICEWS05-15
GDELT-500
MRR
Hit@1
Hit@3
Hit@10
MRR
Hit@1
Hit@3
Hit@10
MRR
Hit@1
Hit@3
Hit@10
TTransE
0.255
0.074
−
0.601
0.271
0.084
−
0.616
0.115
0.000
0.160
0.318
HyTE
0.297
0.108
0.416
0.655
0.316
0.116
0.445
0.681
0.118
0.000
0.165
0.326
TA-DistMult
0.477
0.363
−
0.686
0.474
0.346
−
0.728
0.206
0.124
0.219
0.365
DE-SimplE
0.526
0.418
0.592
0.725
0.513
0.392
0.578
0.748
0.230
0.141
0.248
0.403
TeMP-SA
0.607
0.484
0.684
$\underline{\underline {\boldsymbol{0.840} } } $
$ \underline{\underline {\boldsymbol{0.680} } }$
0.553
$\underline{\underline {\boldsymbol{0.769} } } $
$\underline{\underline {\boldsymbol{0.913 } } }$
0.232
0.152
0.245
0.377
TNTComplEx
0.620
0.520
0.660
0.760
0.670
0.590
0.710
0.810
−
−
−
−
ChronoR
0.625
0.547
0.669
0.773
0.675
0.596
0.723
0.820
−
−
−
−
TA-GAT
$\underline{\underline {\boldsymbol{0.637} } }$
$\underline{\underline {\boldsymbol{0.556} } } $
$\underline{\underline {\boldsymbol{0.685} } } $
0.790
0.676
$\underline{\underline {\boldsymbol{0.597} } } $
0.720
0.816
$\underline{\underline {\boldsymbol{0.241} } } $
$\underline{\underline {\boldsymbol{0.153} } } $
$\underline{\underline {\boldsymbol{0.252} } } $
$\underline{\underline {\boldsymbol{0.421} } } $