Differentiating Concepts and Instances for Knowledge Graph Embedding

Concepts, which represent a group of different instances sharing common properties, are essential information in knowledge representation. Most conventional knowledge embedding methods encode both entities (concepts and instances) and relations as vectors in a low dimensional semantic space equally, ignoring the difference between concepts and instances... (read more)

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Datasets


Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Link Prediction YAGO39K TransC (bern) Hits@1 0.298 # 1
Hits@10 0.698 # 1
Hits@3 0.502 # 1
MRR 0.42 # 1
Triple Classification YAGO39K TransC (bern) Accuracy 93.8 # 1
F1-Score 93.7 # 1
Precision 94.8 # 1
Recall 92.7 # 1

Methods used in the Paper


METHOD TYPE
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