Knowledge Graph Embedding: A Survey of Approaches and Applications

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Learning to Represent Knowledge Graphs with Gaussian Embedding

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Joint Semantic Relevance Learning with Text Data and Graph Knowledge

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Context-Dependent Knowledge Graph Embedding

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Logistic Tensor Factorization for Multi-Relational DataPreprint

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Entity Disambiguation with Freebase

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Discovering facts with boolean tensor tucker decomposition

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Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data

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Knowledge Graph Representation with Jointly Structural and Textual EncodingPreprint

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Using Semantics and Statistics to Turn Data into Knowledge

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A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

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A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications

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Vision, challenges, roles and research issues of Artificial Intelligence in Education

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What Role Does Hydrological Science Play in the Age of Machine Learning?

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Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things

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Traffic Flow Prediction via Spatial Temporal Graph Neural Network

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Knowledge Graph Embedding for Link Prediction

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SimplE Embedding for Link Prediction in Knowledge Graphs

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A unified drug–target interaction prediction framework based on knowledge graph and recommendation system

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A Survey of Knowledge-enhanced Text Generation

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A Survey on Knowledge Graph Embeddings for Link Prediction

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Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions

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Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models

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A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement

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Language Models As or For Knowledge Bases

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A comprehensive evaluation of machine learning algorithms for web application attack detection with knowledge graph integration

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Clinical trial recommendations using Semantics-Based inductive inference and knowledge graph embeddings

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GENIUS: An agentic AI framework for autonomous design and execution of simulation protocols

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Implicit Relation Linking for Question Answering over Knowledge Graph

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LUMEN: Enhancing IoT System Observability with Multi-Agent Large Language Models and Knowledge Graphs

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Efficient parallel translating embedding for knowledge graphs

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Information Extraction in the Medical Domain

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Knowledge Graph Embedding by Learning to Connect Entity with Relation

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Review of entity relation extraction

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Bootstrapping Entity Alignment with Knowledge Graph Embedding

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