Semantically Smooth Knowledge Graph Embedding
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Entity ResolutionGraph EmbeddingKnowledge Graph EmbeddingKnowledge GraphsLink PredictionNamed Entity Recognition (NER)Relation ExtractionWord Sense DisambiguationSimilar Papers 제목 키워드 기반
Open-World Visual Recognition Using Knowledge Graphs
In a real-world setting, visual recognition systems can be brought to make predictions for images belonging to previously unknown class labels. In order to make semantically meaningful predictions for such inputs, we pro…
Knowledge GraphsIs There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding
Modeling of relation pattern is the core focus of previous Knowledge Graph Embedding works, which represents how one entity is related to another semantically by some explicit relation. However, there is a more natural a…
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Leveraging graphs on recommender systems has gained popularity with the development of graph representation learning (GRL). In particular, knowledge graph embedding (KGE) and graph neural networks (GNNs) are representati…
Entity EmbeddingsGraph EmbeddingGraph Representation LearningKnowledge Graph Embedding+2Contrastive Object Detection Using Knowledge Graph Embeddings
Object recognition for the most part has been approached as a one-hot problem that treats classes to be discrete and unrelated. Each image region has to be assigned to one member of a set of objects, including a backgrou…
Knowledge Graph EmbeddingsKnowledge GraphsObjectobject-detection+3Time-aware Graph Embedding: A temporal smoothness and task-oriented approach
Knowledge graph embedding, which aims to learn the low-dimensional representations of entities and relationships, has attracted considerable research efforts recently. However, most knowledge graph embedding methods focu…
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