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

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TracKGE: Transformer with Relation-pattern Adaptive Contrastive Learning for Knowledge Graph Embedding

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Construction of Legal Knowledge Graph Based on Knowledge-Enhanced Large Language Models

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Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications

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Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion

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Cyber-Physical System Security Surveillance using Knowledge Graph based Digital Twins - A Smart Farming Usecase

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Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion

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A distributed joint extraction framework for sedimentological entities and relations with federated learning

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Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming

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Constructing Product Usage Context Knowledge Graph Using User-Generated Content for User-Driven Customization

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Knowledge Engineering in Chemistry: From Expert Systems to Agents of Creation

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Long-term robot manipulation task planning with scene graph and semantic knowledge

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TGOpt: Redundancy-Aware Optimizations for Temporal Graph Attention Networks

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Toxicology knowledge graph for structural birth defects

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GC-CDSS: Personalized gastric cancer treatment recommendations system based on knowledge graph

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Use of Knowledge Graphs for Construction Safety Management: A Systematic Literature Review

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Explainable reasoning over temporal knowledge graphs by pre-trained language model

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GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization

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Counterfactual Learning on Graphs: A Survey

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Scientia Potentia Est—On the Role of Knowledge in Computational Argumentation

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Taylor’s theorem: A new perspective for neural tensor networks

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Predicting video engagement using heterogeneous DeepWalk

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An Analysis of COVID-19 Knowledge Graph Construction and Applications

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Implications of topological imbalance for representation learning on biomedical knowledge graphs

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Emotion Recognition With Knowledge Graph Based on Electrodermal Activity

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Metro Traffic Flow Prediction via Knowledge Graph and Spatiotemporal Graph Neural Network

Wang, S., Lv, Y., Peng, Y., Piao, X., & Zhang, Y. (2022) · Journal of Advanced Transportation · doi:10.1155/2022/2348375 · Cited by 25

RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs

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Automatic Generation of 3D Scene Animation Based on Dynamic Knowledge Graphs and Contextual Encoding

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Knowledge graph reasoning for cyber attack detection

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EXGC: Bridging Efficiency and Explainability in Graph Condensation

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Path-based Explanation for Knowledge Graph Completion

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Aggregation or separation? Adaptive embedding message passing for knowledge graph completion

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Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures

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Temporal Knowledge Graph Informer Network for Remaining Useful Life Prediction

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MGKsite: Multi-Modal Knowledge-Driven Site Selection via Intra and Inter-Modal Graph Fusion

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MHRN: A multi-perspective hierarchical relation network for knowledge graph embedding

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Heterogeneous relational reasoning in knowledge graphs with reinforcement learning

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Knowing the No-match: Entity Alignment with Dangling Cases

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Artificial intelligence for knowledge graphs of cryptocurrency anti-money laundering in fintech

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Decision-Making System for the Diagnosis of Syndrome Based on Traditional Chinese Medicine Knowledge Graph

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Enhancing drug–drug interaction prediction by three-way decision and knowledge graph embedding

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DiriE: Knowledge Graph Embedding with Dirichlet Distribution

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UniSKGRep: A unified representation learning framework of social network and knowledge graph

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Learning Joint Structural and Temporal Contextualized Knowledge Embeddings for Temporal Knowledge Graph Completion

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EventKGE: Event knowledge graph embedding with event causal transfer

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Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health

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Dynamic data‐driven railway bridge construction knowledge graph update method

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Embedding-Based Entity Alignment of Cross-Lingual Temporal Knowledge Graphs

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Characteristics and associated factors of health information-seeking behaviour among patients with inflammatory bowel disease in the digital era: a scoping review

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Artificial Intelligence-Based Algorithms in Medical Image Scan Segmentation and Intelligent Visual Content Generation—A Concise Overview

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Multi-perspective knowledge graph completion with global and interaction features

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Text-enhanced knowledge graph representation learning with local structure

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Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion

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Locality preserving dense graph convolutional networks with graph context-aware node representations

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Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey

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Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph

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Materials Data Science Ontology(MDS-Onto): Unifying Domain Knowledge in Materials and Applied Data Science

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Rule-Based Detection of Anomalous Patterns in Device Behavior for Explainable IoT Security

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PGD-GP: A Chinese Named Entity Recognition Model for Constructing Food Safety Standard Knowledge Graph

Chen, Y., Fan, Q., Yuan, X., Zhang, Q., & Dong, Y. D. (2024) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2024.3373249 · Cited by 19

An experimentally validated approach to automated biological evidence generation in drug discovery using knowledge graphs

Sudhahar, S., Özer, B., Chang, J., Chadwick, W., O’Donovan, D., Campbell, A., Tulip, E., Thompson, N. T., & Roberts, I. (2024) · Nature Communications · doi:10.1038/s41467-024-50024-6 · Cited by 21

Reinforcement Learning Approach for Integrating Compressed Contexts into Knowledge Graphs

Quach, N., Wang, Q., Gao, Z., Sun, Q., Guan, B., & Floyd, L. (2024) · International Conference on Computer Vision, Image and Deep Learning (CVIDL) · doi:10.1109/cvidl62147.2024.10604019 · Cited by 20

Named Entity Recognition for Equipment Fault Diagnosis Based on RoBERTa-wwm-ext and Deep Learning Integration

Gao, F., Li, Z., Wang, W., Zhang, B., Liu, W., Zhang, J., & Xie, L. (2024) · Electronics · doi:10.3390/electronics13193935 · Cited by 24

Research on application of knowledge graph in industrial control system security situation awareness and decision-making: A survey

Liu, L., Xu, P., Fan, K., & Wang, M. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.128721 · Cited by 22

Integrating language into medical visual recognition and reasoning: A survey

Lu, Y., & Wang, A. (2025) · Medical Image Analysis · doi:10.1016/j.media.2025.103514 · Cited by 32

An automatic machine fault identification method using the knowledge graph–embedded large language model

Wu, P., Mou, X., Gong, L., Tu, H., Qiu, L., & Yang, B. Y. (2025) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-025-15555-2 · Cited by 21

Designing a Generalist Education AI Framework for Multimodal Learning and Ethical Data Governance

Yan, Y., Liu, H., Zhang, H., Chau, T., & Li, J. (2025) · Applied Sciences · doi:10.3390/app15147758 · Cited by 29

Adaptive Modality Interaction Transformer for Multimodal Knowledge Graph Completion

Jian, Y., Zhang, M., Qin, Z., Xie, C., Xiao, K., Zhang, Y., & Li, Z. (2025) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/3760786 · Cited by 20

GeoAI enabled urban computing: status and challenges

Lu, F. F., Cheng, S., & Wang, P. (2025) · Annals of GIS · doi:10.1080/19475683.2025.2552152 · Cited by 21

Leveraging temporal validity of rules via LLMs for enhanced temporal knowledge graph reasoning

Pan, Q., Yao, L., Shen, G., Han, X., Chen, Y., & Kong, X. (2025) · Knowledge-Based Systems · doi:10.1016/j.knosys.2025.114094 · Cited by 20

Knowledge Graph Applications in Medical Imaging Analysis: A Scoping Review

Wang, S., Lin, M., Ghosal, T., Ding, Y., & Peng, Y. (2022) · Health Data Science · doi:10.34133/2022/9841548 · Cited by 20

Knowledge graph embedding by projection and rotation on hyperplanes for link prediction

Le, T., Huynh, N., & Le, B. H. (2022) · Applied Intelligence · doi:10.1007/s10489-022-03983-6 · Cited by 20

Exploration of organic superionic glassy conductors by process and materials informatics with lossless graph database

Hatakeyama‐Sato, K., Umeki, M., Adachi, H., Kuwata, N., Hasegawa, G., & Oyaizu, K. (2022) · npj Computational Materials · doi:10.1038/s41524-022-00853-0 · Cited by 21

A survey on knowledge-aware news recommender systems

Iana, A., Alam, M., & Paulheim, H. (2022) · Semantic Web · doi:10.3233/sw-222991 · Cited by 23

A distribution-based representation of Knowledge Quality

Wang, X., Ban, T., Chen, L., Usman, M., Wu, T., Chen, H., & Chen, H. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2023.111054 · Cited by 20

Enhancing semantic text similarity with functional semantic knowledge (FOP) in patents

Teng, H., Wang, N., Zhao, H., Hu, Y., & Jin, H. (2023) · Journal of Informetrics · doi:10.1016/j.joi.2023.101467 · Cited by 21

The joint knowledge reasoning model based on knowledge representation learning for aviation assembly domain

Liu, P., Qian, L., Lu, H., Xue, L., Zhao, X., & Tao, B. (2023) · Science China Technological Sciences · doi:10.1007/s11431-023-2506-4 · Cited by 20

Semi-Supervised Bootstrapped Syntax-Semantics-Based Approach for Agriculture Relation Extraction for Knowledge Graph Creation and Reasoning

Veena, G., Gupta, D., & Kanjirangat, V. (2023) · IEEE Access · doi:10.1109/access.2023.3339552 · Cited by 21

Multimodal knowledge graph construction for risk identification in water diversion projects

Wang, L., Liu, X., Liu, Y., Li, H., Liu, J., & Yang, L. (2024) · Journal of Hydrology · doi:10.1016/j.jhydrol.2024.131155 · Cited by 21

EditKG: Editing Knowledge Graph for Recommendation

Tang, G., Gan, X., Wang, J., Lu, B., Wu, L., Fu, L., & Zhou, C. (2024) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3626772.3657723 · Cited by 22

A survey of artificial intelligence in gait-based neurodegenerative disease diagnosis

Rao, H., Zeng, M., Zhao, X., & Miao, C. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.129533 · Cited by 26

From text to model: Leveraging natural language processing for system dynamics model development

Veldhuis, G. A., Blok, D., de Boer, M., Kalkman, G. J., Bakker, R. M., & van Waas, R. P. M. (2024) · System Dynamics Review · doi:10.1002/sdr.1780 · Cited by 24

SF-GPT: A training-free method to enhance capabilities for knowledge graph construction in LLMs

Sun, L., Zhang, P., Gao, F., An, Y., Li, Z., & Zhao, Y. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.128726 · Cited by 21

Entity-relation aggregation mechanism graph neural network for knowledge graph embedding

Xu, G., Rao, G., Zhang, L., & Cong, Q. (2024) · Applied Intelligence · doi:10.1007/s10489-024-05907-y · Cited by 19

Knowledge-Based Ultra-Low-Latency Semantic Communications for Robotic Edge Intelligence

Zeng, Q., Wang, Z., Zhou, Y., Hai, W., Yang, L., & Huang, K. (2024) · IEEE Transactions on Communications · doi:10.1109/tcomm.2024.3511931 · Cited by 23

Using social media data to construct and analyze knowledge graph for "7.20" Henan rainstorm flood event

Lu, H., Zhang, S., Gao, Y., Jin, H., Zhao, P., Gao, Y., Li, Y., Wang, W., & Zhang, Y. (2024) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2024.105129 · Cited by 19

Unveiling Context-Related Anomalies: Knowledge Graph Empowered Decoupling of Scene and Action for Human-Related Video Anomaly Detection

Chen, C., Liu, X., Song, M., Li, L., Yuan, S., Yu, X., & Pang, S. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3546107 · Cited by 19

Crafting user-centric prompts for UI generations based on Kansei engineering and knowledge graph

Feng, X., Du, H., Ma, J., Wang, H., Zhou, L., & Wang, M. (2025) · Advanced Engineering Informatics · doi:10.1016/j.aei.2025.103217 · Cited by 20

Integrating machine learning and a large language model to construct a domain knowledge graph for reducing the risk of fall-from-height accidents

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