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Models/LP-BERT

LP-BERT

Reported on 12 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Graphs12 results

Link PredictiononUMLS
Hits@10· 2022-01-13
1
SOTA
Multi-task Pre-training Language Model for Semantic Network Completion arXiv:2201.04843
Link PredictiononWN18RR
Hits@10· 2022-01-13
0.752
best: 0.881 (MoCoKGC)
SOTA
Multi-task Pre-training Language Model for Semantic Network Completion arXiv:2201.04843
Link PredictiononUMLS
MR· 2022-01-13
1.18
best: 5.52 (DistMult)
Multi-task Pre-training Language Model for Semantic Network Completion arXiv:2201.04843
Link PredictiononWN18RR
Hits@1· 2022-01-13
0.343
best: 0.665 (MoCoKGC)
Multi-task Pre-training Language Model for Semantic Network Completion arXiv:2201.04843
Link PredictiononWN18RR
Hits@3· 2022-01-13
0.563
best: 0.792 (MoCoKGC)
Multi-task Pre-training Language Model for Semantic Network Completion arXiv:2201.04843
Link PredictiononWN18RR
MR· 2022-01-13
92
best: 13526 (Inverse Model)
Multi-task Pre-training Language Model for Semantic Network Completion arXiv:2201.04843
Link PredictiononWN18RR
MRR· 2022-01-13
0.482
best: 0.742 (MoCoKGC)
Multi-task Pre-training Language Model for Semantic Network Completion arXiv:2201.04843
Link PredictiononFB15k-237
Hits@1· uses extra data· 2022-01-13
0.223
best: 0.321 (NBFNet)
Multi-task Pre-training Language Model for Semantic Network Completion arXiv:2201.04843
Link PredictiononFB15k-237
Hits@10· uses extra data· 2022-01-13
0.49
best: 0.599 (NBFNet)
Multi-task Pre-training Language Model for Semantic Network Completion arXiv:2201.04843
Link PredictiononFB15k-237
Hits@3· uses extra data· 2022-01-13
0.336
best: 0.454 (NBFNet)
Multi-task Pre-training Language Model for Semantic Network Completion arXiv:2201.04843
Link PredictiononFB15k-237
MR· uses extra data· 2022-01-13
154
best: 7030 (Inverse Model)
Multi-task Pre-training Language Model for Semantic Network Completion arXiv:2201.04843
Link PredictiononFB15k-237
MRR· uses extra data· 2022-01-13
0.31
best: 0.415 (NBFNet)
Multi-task Pre-training Language Model for Semantic Network Completion arXiv:2201.04843