Jointly Embedding Knowledge Graphs and Logical Rules
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Graph EmbeddingKnowledge Graph EmbeddingKnowledge GraphsLink PredictionWord Sense DisambiguationSimilar Papers 제목 키워드 기반
RulE: Knowledge Graph Reasoning with Rule Embedding
Knowledge graph (KG) reasoning is an important problem for knowledge graphs. In this paper, we propose a novel and principled framework called \textbf{RulE} (stands for {Rul}e {E}mbedding) to effectively leverage logical…
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Knowledge graphs (KGs) play a crucial role in many applications, such as question answering, but incompleteness is an urgent issue for their broad application. Much research in knowledge graph completion (KGC) has been p…
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Knowledge graph embedding models have gained significant attention in AI research. Recent works have shown that the inclusion of background knowledge, such as logical rules, can improve the performance of embeddings in d…
Graph EmbeddingKnowledge Graph EmbeddingKnowledge GraphsLink Prediction+1LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules
Knowledge graph embedding models have gained significant attention in AI and NLP research. Recent works have shown that the inclusion of background knowledge, such as logical rules, can improve the performance of embeddi…
Graph EmbeddingKnowledge Graph EmbeddingKnowledge GraphsLink Prediction+1TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
Conventional static knowledge graphs model entities in relational data as nodes, connected by edges of specific relation types. However, information and knowledge evolve continuously, and temporal dynamics emerge, which …
Knowledge GraphsLink Prediction