KBGAN: Adversarial Learning for Knowledge Graph Embeddings

NAACL 2018 Liwei CaiWilliam Yang Wang

We introduce KBGAN, an adversarial learning framework to improve the performances of a wide range of existing knowledge graph embedding models. Because knowledge graphs typically only contain positive facts, sampling useful negative training examples is a non-trivial task... (read more)

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