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

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Revisiting Automotive Attack Surfaces: a Practitioners’ Perspective

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Information Extraction in Low-Resource Scenarios: Survey and Perspective

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An Intelligent Virtual Standard Patient for Medical Students Training Based on Oral Knowledge Graph

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A kind of intelligent dynamic industrial event knowledge graph and its application in process stability evaluation

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Knowledge graph enhanced citation recommendation model for patent examiners

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A Semantic Approach to Dynamic Path Planning for Fire Evacuation through BIM and IoT Data Integration

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Optimizing automated compliance checking with ontology-enhanced natural language processing: Case in the fire safety domain

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Knowledge-Graph-Driven Fault Diagnosis Methods for Intelligent Production Lines

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RAG-Driven Memory Architectures in Conversational LLMs—A Literature Review With Insights Into Emerging Agriculture Data Sharing

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Knowledge graph and large language model integration with focus on educational applications: A survey

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Target relational attention-oriented knowledge graph reasoning

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Classifying Component Function in Product Assemblies With Graph Neural Networks

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Question Answering Over Knowledge Graphs: A Case Study in Tourism

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A Robust and Generalized Framework for Adversarial Graph Embedding

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I Know What You Do Not Know

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Dependency-aware Self-training for Entity Alignment

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Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus

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Improving Knowledge Graph Completion with Generative Hard Negative Mining

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Multi-Source Education Knowledge Graph Construction and Fusion for College Curricula

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What Do We Mean When We Say “Insight”? A Formal Synthesis of Existing Theory

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Automatic Demagnetization Fault Location of Direct-Drive Permanent Magnet Synchronous Motor Using Knowledge Graph

Gao, C., Gao, B., Xu, X., Si, J., & Hu, Y. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3336712 · Cited by 18

Event-Centric Temporal Knowledge Graph Construction: A Survey

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Towards deep understanding of graph convolutional networks for relation extraction

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Hierarchical attributed graph-based generative façade parsing for high-rise residential buildings

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MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion

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Phishing behavior detection on different blockchains via adversarial domain adaptation

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Knowledge-Aware Learning Framework Based on Schema Theory to Complement Large Learning Models

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GFedKG: GNN-based federated embedding model for knowledge graph completion

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Heterogeneous Contrastive Learning for Foundation Models and Beyond

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One Belt, One Road, One Sentiment? A Hybrid Approach to Gauging Public Opinions on the New Silk Road Initiative

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Graph-Based Knowledge Acquisition With Convolutional Networks for Distribution Network Patrol Robots

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Leverage knowledge graph and GCN for fine-grained-level clickbait detection

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Improving Hyper-Relational Knowledge Graph CompletionPreprint

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Knowledge graph-based intelligent question answering system for ancient Chinese costume heritage

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Fine-tuning or prompting on LLMs: evaluating knowledge graph construction task

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Graph Neural Networks in Medical Imaging: Methods, Applications and Future Directions

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Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment

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Path-based reasoning with K-nearest neighbor and position embedding for knowledge graph completion

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Exploring the topic evolution of Dunhuang murals through image classification

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Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data

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Translation-Based Embeddings with Octonion for Knowledge Graph Completion

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Knowledge-Driven Industrial Intelligent System: Concept, Reference Model, and Application Direction

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Application of Knowledge Graph in Water Conservancy Education Resource Organization under the Background of Big Data

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Embedding Uncertain Temporal Knowledge Graphs

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Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning

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DeepInfusion: A dynamic infusion based-neuro-symbolic AI model for segmentation of intracranial aneurysms

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Robust Online Calibration of LiDAR and Camera Based on Cross-Modal Graph Neural Network

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Document-level relation extraction with entity mentions deep attention

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nuScenes Knowledge Graph - A comprehensive semantic representation of traffic scenes for trajectory prediction

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Improving Landslide Prediction: Innovative Modeling and Evaluation of Landslide Scenario with Knowledge Graph Embedding

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Efficient distributed association management method of data, model, and knowledge for digital twin railway

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A Schema-Driven Synthetic Knowledge Graph Generation Approach With Extended Graph Differential Dependencies (GDDxs)

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Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain

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Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective

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Data Access Technologies and the ‘New Governance’ Techniques of Financial Regulation

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A deep graph neural network-based link prediction model for proactive anomaly detection in discrete manufacturing workshop

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Construction of Knowledge Graph for Flag State Control (FSC) Inspection for Ships: A Case Study from China

Gan, L., Chen, Q., Zhang, D., Zhang, X., Zhang, L., Liu, C., & Shu, Y. (2022) · Journal of Marine Science and Engineering · doi:10.3390/jmse10101352 · Cited by 17

Defect knowledge graph construction and application in multi-cloud IoT

Yang, W., Li, X., Wang, P., Hou, J., Li, Q., & Zhang, N. (2022) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-022-00334-1 · Cited by 16

A comprehensive review on knowledge graphs for complex diseases

Yang, Y., Lu, Y., & Yan, W. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac543 · Cited by 17

Robust Semantic Communication Driven by Knowledge Graph

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Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers

Chung, C., Lee, J., & Whang, J. J. (2023) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3580305.3599490 · Cited by 21

Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey

Fu, D., Bao, W., Maciejewski, R., Tong, H., & He, J. (2023) · ACM SIGKDD Explorations Newsletter · doi:10.1145/3606274.3606280 · Cited by 21

Boosting Graph Contrastive Learning via Adaptive Sampling

Wan, S., Zhan, Y., Chen, S., Pan, S., Yang, J. J., Tao, D., & Gong, C. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2023.3291358 · Cited by 16

Domain Knowledge Graph Question Answering Based on Semantic Analysis and Data Augmentation

Hu, S., Zhang, H., & Zhang, W. (2023) · Applied Sciences · doi:10.3390/app13158838 · Cited by 16

Connecting AI: Merging Large Language Models and Knowledge Graph

Jovanovic, M., & Campbell, M. (2023) · Computer · doi:10.1109/mc.2023.3305206 · Cited by 19

Multi-sensor integration management in the earth observation sensor web: State-of-the-art and research challenges

Zhang, Y., Li, J., Duan, M., Chen, W., Fernández, J. D. R., Zhang, X., Wang, K., Liang, S. H. L., Chen, Z., Chen, N., et al. (2023) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2023.103601 · Cited by 16

Knowledge-Guided Adaptive Neuro-Fuzzy Self-Healing Control for Sludge Bulking in Wastewater Treatment Process

Liu, Z., Han, H., Qiao, J., & Ma, Z. (2024) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2024.3369422 · Cited by 16

Knowledge graph representation learning with relation-guided aggregation and interaction

Shang, B., Zhao, Y., & Liu, J. (2024) · Information Processing & Management · doi:10.1016/j.ipm.2024.103752 · Cited by 16

Towards complex dynamic physics system simulation with graph neural ordinary equations

Shi, G., Zhang, D., Jin, M., Pan, S., & Yu, P. S. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.106341 · Cited by 18

A Graph-Based Keyword Extraction Method for Academic Literature Knowledge Graph Construction

Lin, Z., Li, Y., & Li, Q. (2024) · Mathematics · doi:10.3390/math12091349 · Cited by 17

FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering

Hu, S., & Wang, X. (2024) · Communications in computer and information science · doi:10.1007/978-981-97-5803-6_24 · Cited by 16

Graph Multi-Convolution and Attention Pooling for Graph Classification

Xu, Y., Wang, J., Guang, M., & Jiang, C. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3443253 · Cited by 16

Graph Intelligence with Large Language Models and Prompt Learning

Li, J., Sun, X., Li, Y., Li, Z., Cheng, H., & Yu, J. X. (2024) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3637528.3671456 · Cited by 20

A Global–Local Attentive Relation Detection Model for Knowledge-Based Question Answering

Qiu, C., Zhou, G., Cai, Z., & Søgaard, A. (2021) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2021.3068697 · Cited by 16

An Incremental Boolean Tensor Factorization for Knowledge Reasoning in Artificial Intelligence of Things

Yang, J., Yang, L. T., Gao, Y., Liu, H., & Xie, X. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2021.3100978 · Cited by 17

DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs

Xu, M., Singh, A. V., & Karniadakis, G. E. (2022) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3178706 · Cited by 16

Interactive Visual Pattern Search on Graph Data via Graph Representation Learning

Song, H., Dai, Z., Xu, P., & Ren, L. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114857 · Cited by 16

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network

Chen, G., Fang, J., Meng, Z., Zhang, Q., & Liang, S. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v36i5.20492 · Cited by 16

Integrating Knowledge Graphs into Autonomous Vehicle Technologies: A Survey of Current State and Future Directions

Htun, S. N. N., & Fukuda, K. (2024) · Information · doi:10.3390/info15100645 · Cited by 15

PageLLM: Incremental approach for updating a Security Knowledge Graph by using Page ranking and Large language model

Mishra, C., Sarma, H., & Saravanan, M. (2024) · Information Processing & Management · doi:10.1016/j.ipm.2024.104045 · Cited by 17

A failure knowledge graph learning framework for offshore wind turbines with incomplete knowledge

Ding, Y., Zhu, F., Li, H., Parlikad, A. K., & Xie, M. (2025) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2025.115561 · Cited by 15

Recommender Systems Meet Large Language Model Agents: A Survey

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Synergizing a knowledge graph and large language model for relay catalysis pathway recommendation

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SPAN: A self-paced association augmentation and node embedding-based model for software bug classification and assignment

Mohsin, H., Shi, C., Hao, S., & Jiang, H. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.107711 · Cited by 15

Loan Default Risk Prediction Using Knowledge Graph

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