Analogical Inference for Multi-Relational Embeddings

ICML 2017 Hanxiao LiuYuexin WuYiming Yang

Large-scale multi-relational embedding refers to the task of learning the latent representations for entities and relations in large knowledge graphs. An effective and scalable solution for this problem is crucial for the true success of knowledge-based inference in a broad range of applications... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Link Prediction WN18 ANALOGY MRR 0.942 # 10
[email protected] 0.947 # 12
[email protected] 0.944 # 8
[email protected] 0.939 # 7

Methods used in the Paper


METHOD TYPE
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