Knowledge Graph Embedding for Link Prediction

Cited by (602)

Items 501–600 of 602

1. Design and Application of Personalized Recommendation System for Online Learning Resources Based on Big Data
   Pei Song · 2024 · IEEE World Conference on Applied Intelligence and Computing (AIC)
2. Additive Counterfactuals for Explaining Link Predictions on Knowledge Graphs
   Roberto Barile, Claudia d’Amato, Nicola Fanizzi · 2024 · Lecture notes in computer science
3. Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-starting Progressive Propagation
   Zhoutian Shao, Yuanning Cui, Wei Ping Hu · 2024 · Lecture notes in computer science
4. Structure Amplification on Multi-layer Stochastic Block Models
   Kun He, Xiaodong Xin, Jialu Bao · 2024 · ACM Transactions on Knowledge Discovery from Data
5. DSparsE: Dynamic Sparse Embedding for Knowledge Graph Completion
   Chuhong Yang, Bin Li, Nan Wu · 2024 · Lecture notes in computer science
6. Measuring the Inferential Values of Relations in Knowledge Graphs
   Xu Zhang, Xiaojun Kang, Hong Liang Yao, Lijun Dong · 2024 · Algorithms
7. Relational Clustering-Based Parallel Spaces Construction and Embedding for Dynamic Knowledge Graph
   Yao Liu, Yongfei Zhang · 2025 · IEEE Transactions on Big Data
8. A knowledge graph completion model based on weighted fusion description information and transform of the dimension and the scale
   Panfei Yin, Erping Zhao, ‘ BianBaDroMa, Ngodrup · 2025 · Applied Intelligence
9. Harmonizing Human Insights and AI Precision: Hand in Hand for Advancing Knowledge Graph Task
   Shurong Wang, Yufei Zhang, Xuliang Huang, Hongwei Wang · 2024 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
10. HeBoots: A Novel Heuristic Bootstrapping Entity Alignment Model Based on Reasoning
    Mohammad Ali Soltanshahi, Babak Teimourpour · 2025 · Research Square
11. A GPT-assisted Multi-Granularity Contrastive Learning Approach for Knowledge Graph Entity Typing
    Hongbin Zhang, Tao Wang, Zhuowei Wang, Nankai Lin, Chong Chen, Lianglun Cheng · 2025 · ACM Transactions on Intelligent Systems and Technology
12. Enhancing Knowledge Graphs Reasoning Through High-Order Structure Learning and Multi-View Fusion
    Qi Wang, YANRONG GUO, Jingjing Wu · 2025 · SSRN Electronic Journal
13. Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
    Gongzhu Yin, Hongli Zhang, Yuchen Yang, Yi Luo · 2025 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
14. AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes
    Zhanpeng Guan, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Fei Wang, Zhulin An, Yongjun Xu · 2025 · IEEE Transactions on Knowledge and Data Engineering
15. A Hybrid Self-Correcting Approach for Embedding Ontology-based Knowledge Graphs
    Elisa Mariani, Nacéra Bennacer Seghouani, Yue Ma · 2025 · ACM/SIGAPP Symposium on Applied Computing (SAC)
16. GNN-FTuckER: A novel link prediction model for identifying suitable populations for tea varieties
    Jun Li, Bing Yang, Jiaxin Liu, Xu Wang, Zhongyuan Wu, Qiang Huang, Peng He · 2025 · PLoS ONE
17. Enhancing knowledge graph density through graph relation attention and contrastive learning
    Chunyu Lu, Tianran Chen, Duo Shang, Jun Ting Luo, Xin Hui, Ruhui Shi · 2025 · The Journal of Supercomputing
18. Training-Free Score Calibration for Complex Query Decomposition
    Simon Ott, Melisachew Wudage Chekol, Christian Meilicke, Heiner Stuckenschmidt · 2025 · Lecture notes in computer science
19. Adaptive Deep Fuzzy Neural Network With Multi‐Headed Self‐Attention for Improving Performance of Social Network Representation Learning and Link Prediction
    Linh Nguyen Thi My, Vu Nguyen, Tham Vo · 2025 · Concurrency and Computation Practice and Experience
20. ConstrainTree: Enhancing Decision Trees With Semantic Constraint Validation
    Philipp D. Rohde, María-Esther Vidal · 2025 · IEEE Access
21. WikiRAG: Revisiting Wikidata KGC Datasets with Community Updates and Retrieval-Augmented Generation
    Djellel Eddine Difallah · 2025 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
22. Enhancing Knowledge Graphs Reasoning Through High-Order Structure Learning and Multi-View Fusion
    Qi Wang, YANRONG GUO, Wu Jinging · 2025 · SSRN Electronic Journal
23. Homophily-Guided Backdoor Attacks on GNN-Based Link Prediction
    Yadong Wang, Zhiwei Zhang, Pengpeng Qiao · 2025 · Applied Sciences
24. A Hybrid Learning Approach for Continual Knowledge Graph Embedding: Contrastive Masking and Joint Anti-Forgetting
    Nanhui Lai, Ke Jin, Yingchao Long, Weihao Yu, Jin Huang · 2025 · Lecture notes in computer science
25. RETRACTED: Optimizing laboratory safety education knowledge graph through neural-symbolic reasoning
    Yanling Liu · 2025 · Journal of Computational Methods in Sciences and Engineering · Retracted
26. Quantifying expressive power in knowledge graph embeddings: An entropy-based metric framework
    Panfeng Chen, Hui Li, Qi Wang · 2025 · Expert Systems with Applications
27. When word order matters: human brains represent sentence meaning differently from large language models
    James Fodor, Carsten Murawski, Shinsuke Suzuki · 2025 · eLife
28. Large language models poorly capture how word order shapes representations of sentence meaning in the human brain
    James Fodor, Carsten Murawski, Shinsuke Suzuki · 2025 · eLife
29. Interpretable Link Prediction via Neural-Symbolic Reasoning
    Rodrigo Castellano Ontiveros, Ehsan Bonabi Mobaraki, Francesco Giannini · 2025 · Communications in computer and information science
30. Knowledge prompting: How knowledge engineers use generative AI
    Elisavet Koutsiana, Johanna Walker, Michelle Nwachukwu, Bohui Zhang, Albert Meroño-Peñuela, Elena Paslaru Bontas Simperl · 2025 · Journal of Web Semantics
31. Evaluating Knowledge Graph Sources for Non-personalized Financial Asset Recommendation: 10K Reports vs. Wikidata
    L. Guo, Javier Sanz-Cruzado, Richard McCreadie · 2025 · Lecture notes in computer science
32. From Soup to Nuts: A Hierarchical Relation-Based IP Attribution Approach for Cyber Threat Traceback
    Junyi Wang, Yutong Zeng, Tao Leng · 2025 · IEEE International Conference on High Performance Computing and Communications (HPCC)
33. Graph-Based Drug Discovery and Risk Assessment for Opioid Use Disorder Using Graph Neural Networks and Knowledge Graphs
    Krishna Kanth Kodanganti, Divya Kodanganti · 2025
34. PHITS: A Parallel Hyperlink-Induced Topic Search Algorithm with Graph Partitioning and Communication Optimization
    Xuanye Chen, Xiaoshuang Xing, Mengjiao Ou · 2025 · Lecture notes in computer science
35. ContxE: Attention-based Context Aggregation for Temporal Knowledge Graph Completion
    Borui Cai, Yong Xiang, Longxiang Gao, Jiong Jin, Junfeng Wu, Tom H. Luan · 2025 · International Joint Conference on Neural Networks (IJCNN)
36. DiffMLP: A diffusion-based multi-hop link prediction framework in knowledge graphs
    Hao Liu, Dong Li, Bing Zeng · 2025 · Neural Networks
37. Knowledge Graph Optimization Method for Credit Evaluation of International Trade Enterprises under Artificial Intelligence
    Guohua Lian, Huah Yong Chan, Qiliang Liang · 2025 · International Conference on Internet of Things and Cloud Computing Technology (IoTCCT)
38. Distance Measurement Techniques for Vectors Cluster Determination in Embedding-based Link Prediction
    Fitri Susanti, Nur Ulfa Maulidevi, Kridanto Surendro · 2025 · International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS)
39. GTSP: A Unified Framework for Graph Pretraining and Task-Specific Prompting
    Fanghua Lu · 2025 · International Conference on Artificial Intelligence, Automation and High Performance Computing (AIAHPC)
40. Additional file 1 of A knowledge graph approach to predict and interpret disease-causing gene interactions
    Alexandre Renaux, Chloé Terwagne, Michael Cochez, Ilaria Tiddi, Nowé, Ann, Tom Lenaerts · 2024 · Figshare
41. KG-PTP: A Knowledge Graph-Driven Approach for Pedestrian Trajectory Prediction
    Xiling Cao, Chen Pang, Hong Liu · 2025 · IEEE Transactions on Computational Social Systems
42. Improving Knowledge Graph Embeddings through Contrastive Learning with Negative Statements
    Rita T. Sousa, Heiko Paulheim · 2025 · ACM International Conference on Knowledge Capture (K-CAP)
43. A mechanistic study on the impact of entity degree distribution in open-world link prediction
    Dinghong Lai, Xiaobo Jiang, Yongru Chen, Dongwei Hu · 2025 · Information Processing & Management
44. Application of Knowledge Graph Embedding Methods in Pharmacological Relationship Mining
    Ziyi Chi · 2025
45. Enhancing Nursing Diagnosis Accuracy Using RAG and Llama 3.1
    Shao-Kuo Tai, Sheng-Ming Kuo, Rung Ching Chen · 2025 · International Conference on Medical and Health Informatics (ICMHI)
46. An Enhanced Knowledge Graph Embedding for Small-Scale Sparse Knowledge Graph
    Yushun Xie, Haiyan Wang, Runnan Tan · 2026 · Lecture notes in computer science
47. Ontology Construction and Knowledge Rule Mining for Quality Evaluation of Power Grid Project Feasibility Studies
    Mingxing Liu, Jicong You, Yu Xiao, Xianing Jin, Wenxin Mu · 2026 · SSRN Electronic Journal
48. On the Review of the Methodologies Evolution and Metrics Towards Graph Neural Networks
    Sheila Atindriya Salsabila Hadi, Alfi Yusrotis Zakiyyah · 2025
49. Measurement Data Management System Based on Graph Computing
    Beiling Qiu, Lingdong Meng, Qiongxin Liu, Yang Shen, Shengqiong Yuan · 2025 · Journal of big data and computing.
50. Development of an Intelligent Educational Q&A System based on Knowledge Graph and Natural Language Processing
    Yaqi Guo, Yang Song · 2025
51. Qhgeogpt: A Domain-Specific Language Model for Engineering-Scale Geological Reasoning and Mineral Exploration in the Qin-Hang Belt
    Lu-hao He, Yongzhang Zhou, Lu Su, Huanrong Yang · 2025 · SSRN Electronic Journal
52. Experiments in Graph Structure and Knowledge Graph Embeddings
    Antrea Christou, Cogan Shimizu · 2026 · Neurosymbolic Artificial Intelligence
53. FusionE:A multiscale fusion network applied to equipment knowledge graph link prediction
    Shangyong Zuo, Xingfen Wang, L. K. Wang, Yi Yang · 2025 · International Conference on Artificial Intelligence and Computer Engineering (ICAICE)
54. Efficient Knowledge Graph Reduction using Popularity-Weighted Sampling
    M Dharini Devi, S.Kannan · 2025 · International Conference on Artificial Intelligence and Signal Processing (AISP)
55. Knowledge Hypergraph Link Prediction Based on Convolutional Neural Networks and Self-Supervised Learning
    Yifeng Xu, Xiaojie Chu, Jie Mei · 2025
56. Retrieval-Reranker: A Two-Stage Pipeline for Knowledge Graph Completion
    Bedirhan Gergin, Charalampos Chelmis · 2025 · IEEE International Conference on Big Data (BigData)
57. EN-thinking: Enhancing entity-level reasoning in large language models for knowledge graph completion
    Yaoyu Chang, Tao Gao, Ziqi Li · 2026 · Knowledge-Based Systems
58. An FCA-based framework for generating Interpretable and User-elicited Fuzzy RDF Properties using bonds
    Domingo López-Rodríguez, Ondrej Krídlo, Manuel Ojeda‐Aciego, Marek Reformat · 2026 · SSRN Electronic Journal
59. A link prediction method for directed networks integrating local information and topological stability
    Zhen Zhang, Sihan Gao, Xinfang Zhang · 2026 · Computing
60. Local and Global Contrastive Network for Unsupervised Graph Anomaly Detection
    Pengbo Li, Hang Yu, Xiangfeng Luo · 2026 · ACM Transactions on Knowledge Discovery from Data
61. On Graph-Based Approaches for Protein Function Annotation and Knowledge Discovery
    Bishnu Sarker · 2021 · theses.fr (ABES)
62. Explainable link prediction in large complex graphs - application to drug repurposing
    Kamrul Islam · 2022
63. Formal Concept Analysis for Discovering Link Keys in the Web of Data
    Nacira Abbas · 2023
64. A Multi-threaded Framework for Integrating Knowledge into a Biomedical Knowledge Graph
    Le Van Thanh, Cu Kim Long, Duong Vu Tuan Minh · 2026 · Lecture notes in networks and systems
65. Designing Big Data Frameworks for Quality-of-Data Controlling in Large-Scale Knowledge Graphs
    Hussein Baalbaki · 2023 · theses.fr (ABES)
66. Linking complementary datasets through the augmentation of knowledge graphs and multimodal representations
    Bill Gates Happi Happi · 2024 · theses.fr (ABES)
67. Document Forgery Detection in Receipts : Towards Generalizable Textual Approaches for Authenticity Verification
    Beatriz Martínez Tornés · 2024 · theses.fr (ABES)
68. Learning to take it personally: Precision drug repurposing through patient-specific loss on knowledge graphs using Biobank data
    Çerağ Oğuztüzün, Zhenxiang Gao, Jing Li · 2026 · Journal of Biomedical Informatics
69. Variational Quantum Models for Knowledge Graph Embeddings on NISQ Devices
    Guido Bellomo, Martin Santesteban, Patricio Bruno · 2025 · IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
70. Unlearning of Knowledge Graph Embedding via Preference Optimization
    Jiajun Liu, Wenjun Ke, P H Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji · 2026 · International World Wide Web Conference (WWW)
71. Knowledge-Fusion Autoencoder: Graph-Guided Feature Fusion for Industrial Fault Detection
    Jiyu Chen, Jinchuan Qian, Xinmin Zhang, Bocun He, Zheren Zhu, Zhihuan Song · 2025 · China Automation Congress (CAC)
72. Explainability-Guided Untargeted Attacks on Knowledge Graph Embedding
    Yawei Lin, Hao Yu, Ke Liang, Mengzhu Wang, Liang Yang, X Y Liu · 2026 · IEEE Transactions on Information Forensics and Security
73. Conel: Contrastive Neural Link Discovery Leveraging Literal Similarities
    Alexander Becker, Axel-Cyrille Ngonga Ngomo, Mohamed Ahmed Sherif · 2026 · Lecture notes in computer science
74. A Semantics-Aware Approach for Graph Edit Distance Estimation over Knowledge Graphs
    Y K Zhou, Huizhong Wang, Chenhao Ma, Yixiang Fang · 2026 · Proceedings of the VLDB Endowment
75. Meta Relation-Aware Metric Learning Framework for Few-Shot Uncertain Knowledge Graph Completion
    X G Wang, Ke Yang, Jian Liu, Xianan Li, Rui Hua, Kuan Xu, Zixin Shu, Xuezhong Zhou · 2026 · IEEE Transactions on Knowledge and Data Engineering
76. Tensor Methods Outperform Transformers: A Comprehensive Comparative Analysis of Knowledge Graph Link Prediction Methods
    Manal Helal, Hammad Khawaja · 2025 · International Conference on Computer Theory and Applications (ICCTA)
77. Traditional and Modern Approaches
    Changmeng Zheng, Qing Li · 2026 · Wireless networks
78. Unlocking the Power of Knowledge Graphs
    Otmane Azeroual · 2026 · IGI Global eBooks
79. TLF ‐Net‐Edge: A Lightweight Text‐Enhanced Local Structure‐Aware Network for English Knowledge Graph Embedding on Edge Intelligence Networks
    Fei Yu · 2026 · Internet Technology Letters
80. FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism
    Peng Fang, Arijit Khan, Ziqiang Wu · 2026 · Proceedings of the VLDB Endowment
81. Implicit Semantic-Aware Communication Based on Hypergraph Reasoning
    Yiwei Liao, Shurui Tu, Yong Liang Xiao · 2026 · IEEE Transactions on Communications
82. Link-Spam-Resistant Domain Ranking: A Comparative Evaluation of PageRank, HITS, and TrustRank Under Simulated Link-Farm Attacks Using Common Crawl Web Graphs
    Romelyn J. Banaybanay, Reagan B. Ricafort · 2026 · International Journal of Latest Technology in Engineering Management & Applied Science
83. Tensor decomposition with semantic adjustment and contrastive learning for temporal knowledge graph completion
    Qun Wang, Ken Deng, Lei Zhu · 2026 · Information Systems
84. Multi-Faceted Continual Knowledge Graph Embedding for Semantic-Aware Link Prediction
    Jing Qi, Yuxiang Wang, Zhiyuan Yu · 2026 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
85. SME: A Sub-Model Ensembling Approach of Bilinear Models for Knowledge Graph Completion
    Si Cen, Han Liu · 2026 · Lecture notes in computer science
86. Multimodal Fusion Case-Based Reasoning for Open-World Knowledge Graph Completion
    Tengfan Weng, Xiaoyu Kang, Zhixin Shi · 2026 · Lecture notes in computer science
87. Category-Centric Initialization for Knowledge Graph Embedding
    Runyu Ni, Hiroki Shibata, Yasufumi Takama · 2026 · Journal of Advanced Computational Intelligence and Intelligent Informatics
88. Enhancing semantic question similarity in Arabic using hybrid models and knowledge graph alignment
    Ammar Al-Edhari, Mohsen Kahani · 2026 · PeerJ Computer Science
89. Reducing Bias in Link Prediction
    Steven Lehmann, Jörg Schließer · 2026 · Lecture notes in networks and systems
90. Evaluation Metrics in Knowledge Graph-Based Recommendation Systems: A Scoping Review
    Mehakpreet Kaur, Vijayalakshmi Ramasamy, Andrew A. Allen · 2026 · International Conference on Artificial Intelligence, Robotics and Control (AIRC)
91. Relational Database Data Lineage Ontology
    Jakub Dutkiewicz, Paweł Misiorek, Robert Wrembel · 2026 · Lecture notes in computer science
92. Representing the Why, When, and Source of Medication Advice in a Pharmacy Knowledge Graph
    Mateo Alvarez, Sofia Herrera, Diego Cruz, Andres Castro · 2026 · Archives of Pharmacy Practice
93. LLMs build inconsistent knowledge graphs from one immune-checkpoint corpus: a five-axis benchmark and consensus precision–coverage protocol
    Qiang Xie, Yang Fang, Yanan Hu · 2026 · Frontiers in Immunology
94. Trustworthy Generation and Verification-Guided Correction for ChatGPT-Type Large Language Models: Symmetry-Aware Technical Mechanisms and Ethical Risk Analysis
    Xihan Gong, Chunyan Zhu · 2026 · Symmetry
95. Hyperspherical Supervised Topic Models
    Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar · 2026 · Data Mining and Knowledge Discovery
96. Statistics-based Quality Measurements for Horn Rules in Knowledge Graphs
    Beshani Weralupitiya, Carlos R. Rivero · 2026 · SSRN Electronic Journal
97. Sankofa: Online Query-Adaptive Dynamic Graph Summaries
    Ama Bembua Bainson, Kasper Overgaard Mortensen, Klim Zaporojets, Davide Mottin, Panagiotis Karras · 2026 · Proceedings of the VLDB Endowment
98. ASTRA: Adaptive Structure-Aware Post-Hoc Alignment of Knowledge Graph Embeddings
    Duygu Ekinci, N’Dah Jean Kouagou, Shivam Sharma · 2026 · Lecture notes in computer science
99. When word order matters: human brains represent sentence meaning differently from large language models
    James Fodor, Carsten Murawski, Shinsuke Suzuki · 2026 · eLife
100. Acquisition Method for Remanufacturing Service Requirements Based on Data Collaboration
     Wenbin Zhou, Lei Wang, Qi Huang, Baolei Wu · 2026 · Sustainability