Generative adversarial networks based on Wasserstein distance for knowledge graph embeddings.
Yuanfei DaiShiping WangXing ChenChaoyang XuWenzhong GuoPublished in: Knowl. Based Syst. (2020)
Keyphrases
- knowledge acquisition
- knowledge base
- expert systems
- domain knowledge
- edge weights
- domain experts
- graph representation
- social networks
- random walk
- distance measure
- generative model
- knowledge representation
- graph partitioning
- euclidean distance
- knowledge sharing
- directed graph
- graph mining
- graph model
- prior knowledge
- multi agent
- fully connected
- average degree