Advances, Systems and Applications
From: Defect knowledge graph construction and application in multi-cloud IoT
Dataset | Metric | ComplEx | DistMult | ConvE | NeuralLP | DRUM | MINERVA | GRULR |
---|---|---|---|---|---|---|---|---|
 | HITS@1 | 0.754 | 0.808 | 0.697 | 0.475 | 0.183 | 0.605 | 0.568 |
KINSHIP | HITS@3 | 0.910 | 0.942 | 0.886 | 0.707 | 0.378 | 0.812 | 0.824 |
 | HITS@10 | 0.980 | 0.979 | 0.974 | 0.912 | 0.675 | 0.924 | 0.912 |
 | MRR | 0.838 | 0.878 | 0.797 | 0.619 | 0.335 | 0.720 | 0.715 |
 | HITS@1 | 0.823 | 0.916 | 0.894 | 0.643 | 0.358 | 0.728 | 0.730 |
UMLS | HITS@3 | 0.962 | 0.967 | 0.964 | 0.869 | 0.699 | 0.900 | 0.893 |
 | HITS@10 | 0.995 | 0.992 | 0.992 | 0.962 | 0.854 | 0.968 | 0.963 |
 | MRR | 0.894 | 0.944 | 0.933 | 0.778 | 0.548 | 0.825 | 0.814 |
 | HITS@1 | 0.410 | 0.390 | 0.400 | 0.368 | 0.369 | 0.413 | 0.412 |
WN18RR | HITS@3 | 0.460 | 0.440 | 0.440 | 0.386 | 0.388 | 0.456 | 0.471 |
 | HITS@10 | 0.510 | 0.490 | 0.520 | 0.408 | 0.410 | 0.513 | 0.522 |
 | MRR | 0.440 | 0.430 | 0.430 | 0.381 | 0.382 | 0.448 | 0.450 |
 | HITS@1 | 0.158 | 0.155 | 0.237 | 0.173 | 0.174 | 0.217 | 0.245 |
FB15K-237 | HITS@3 | 0.275 | 0.263 | 0.356 | 0.259 | 0.261 | 0.329 | 0.360 |
 | HITS@10 | 0.428 | 0.419 | 0.501 | 0.361 | 0.364 | 0.456 | 0.497 |
 | MRR | 0.247 | 0.241 | 0.325 | 0.237 | 0.238 | 0.293 | 0.329 |