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Bias in Knowledge Graph Embeddings
2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2020Styliani Bourli, Evaggelia Pitoura
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Knowledge graph embedding in a uniform space
Intelligent Data AnalysisKnowledge graph embedding (KGE) is typically used for link prediction to automatically predict missing links in knowledge graphs. Current KGE models are mainly based on complicated mathematical associations, which are highly expressive but ignore the uniformity behind the classical bilinear translational model TransE, a model that embeds all entities ...
Da Tong +4 more
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Learning Knowledge Graph Embedding With Heterogeneous Relation Attention Networks
IEEE Transactions on Neural Networks and Learning Systems, 2022Zhifei Li, Hai Liu, Zhaoli Zhang
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Learning knowledge graph embedding with a dual-attention embedding network
Expert Systems With Applications, 2023Haichuan Fang +2 more
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Federated knowledge graph completion via embedding-contrastive learning
Knowledge-Based Systems, 2022Mingyang Chen +2 more
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Structural context-based knowledge graph embedding for link prediction
Neurocomputing, 2022Qianjin Zhang
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EARR: Using rules to enhance the embedding of knowledge graph
Expert Systems With Applications, 2023Jianhua Cheng, Jin Li, Jinpeng Xiang
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KE-X: Towards subgraph explanations of knowledge graph embedding based on knowledge information gain
Knowledge-Based Systems, 2023Guojia Wan, Yibing Zhan, Zengmao Wang
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A Survey on Knowledge Graph Embedding: Approaches, Applications and Benchmarks
Electronics (Switzerland), 2020Yuanfei Dai +2 more
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