Knowledge Graph Embedding for Link Prediction

Cited by (602)

Items 401–500 of 602

1. A Comparative Experimental Study of Link Prediction Methods with Structural Information
   Dawei Liu · 2022 · IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
2. BuB: a builder-booster model for link prediction on knowledge graphs
   Mohammad Ali Soltanshahi, Babak Teimourpour, Hadi Zare · 2023 · Applied Network Science
3. A Graph Sequence Generator and Multi-head Self-attention Mechanism based Knowledge Graph Reasoning Architecture
   Yuejia Wu, Jian-Tao Zhou · 2023 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
4. Value Stream Repair Using Graph Structure Learning
   Marco Wrzalik, Julian Eversheim, Johannes Villmow · 2023 · Lecture notes in computer science
5. Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network
   Xu Yao, Shizhu He, Li Cai, Kang Liu, Jun Feng Zhao · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
6. Fusion of Multi-headed Self-attention for Traditional Chinese Medicine Knowledge Graph Representation Learning
   Yi‐Ying Lin, Lin Feng, Yang Yu · 2023 · ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter)
7. Prediction of Tea Varieties’ “Suitable for People” Relationship: Based on the InteractE-SE+GCN Model
   Qiang Huang, Zongyuan Wu, Mantao Wang · 2023 · Agriculture
8. Cross-Knowledge Graph Relation Completion for Non-isomorphic Cross‐lingual Entity Alignment
   Yuhong Zhang, Dan Lu, Chenyang Bu, Kui Yu, Xindong Wu · 2023 · Proceedings
9. Interactive Link Prediction as a Downstream Task for Foundational GUI Understanding Models
   Christoph Albert Johns, Michael Barz, Daniel Sonntag · 2023 · Lecture notes in computer science
10. Cyber Threat Intelligence for SOC Analysts
    Nidhi Rastogi, Tanvirul Alam · 2023
11. Leveraging Semantic Representations via Knowledge Graph Embeddings
    Franz Krause, Kabul Kurniawan, Elmar Kiesling, Jorge Martínez-Gil, Thomas Hoch, Mario Pichler, Bernhard Heinzl, Bernhard Moser · 2023 · Springer eBooks
12. An Ontology-enhanced Knowledge Graph Embedding Method
    Changlong Wang, Tingting Gan, Xingyu Li · 2023 · International Conference on Computing and Pattern Recognition (ICCPR)
13. Probing Pretrained Language Models with Hierarchy Properties
    Jesús Lovón-Melgarejo, José G. Moreno, Romaric Besançon, Olivier Ferret, Lynda Tamine · 2024 · Lecture notes in computer science
14. Extraction of object-action and object-state associations from Knowledge Graphs
    Alexandros Vassiliades, Theodore Patkos, Vasilis Efthymiou, Antonis Bikakis, Nick Bassiliades, Dimitris Plexousakis · 2024 · Journal of Web Semantics
15. Framework for Building Knowledge Map of Ethnic Music Based on Big Data
    Jinglin Peng, Jianfeng Zhou · 2024 · Journal of Electronics and Information Science
16. A Method for Assessing Inference Patterns Captured by Embedding Models in Knowledge Graphs
    Narayanan Asuri Krishnan, Carlos R. Rivero · 2024 · ACM Web Conference (WWW)
17. Using Model Calibration to Evaluate Link Prediction in Knowledge Graphs
    Aishwarya Rao, Narayanan Asuri Krishnan, Carlos R. Rivero · 2024 · International World Wide Web Conference (WWW)
18. NLP Applications—Biomedical Literature
    Rui Zhang, Andrej Kastrin, Dimitar Hristovski, Marcelo Fiszman B, Halil Kilicoglu B · 2024 · Cognitive informatics in biomedicine and healthcare
19. RSTIE-KGC: A Relation Sensitive Textual Information Enhanced Knowledge Graph Completion Model
    Wenyue Li, Sapae Phyu, Qin Liu, Bowen Du, Junyan Zhang, Hongming Zhu · 2024 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
20. Relation Adaptive Representation Learning Based on Factual Information Interaction for One-Shot Knowledge Graph Completion
    Jinlin Li, Zikang Wang, Linjing Li · 2024
21. Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm
    Qingyang Mao, Zhi Li, Qi Liu, Likang Wu, Hefu Zhang, Enhong Chen · 2024 · ACM Transactions on Knowledge Discovery from Data
22. Personalized Recommendation of Education Resources of Ancient Literature Based on Knowledge Graph
    Huiting Dai · 2023
23. RIP based Knowledge Graph construction for Prescription Reasoning
    A Padmavathi, T Manjari, D. Prasanth Kumar, V Balaji, Ramanathan · 2024 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
24. SnapE – Training Snapshot Ensembles of Link Prediction Models
    Ali Shaban, Heiko Paulheim · 2024 · Lecture notes in computer science
25. Knowledge graph embeddings based on 2d convolution and self-attention mechanisms for link prediction
    Shijie Zan, Weidong Ji, Guohui Zhou · 2024 · Applied Intelligence
26. Knowledge Graph Completion for Activity Recommendation in Business Process Modeling
    Keyvan Amiri Elyasi, Diana Sola, Christian Meilicke, Han van der Aa, Heiner Stuckenschmidt · 2024 · Künstliche Intell.
27. Graph Embeddings Meet Link Keys Discovery for Entity Matching
    Chloé Khadija Jradeh, Ensiyeh Raoufi, Jérôme David, Pierre Larmande, François Scharffe, Konstantin Todorov, Cássia Trojahn dos Santos · 2025 · International World Wide Web Conference (WWW)
28. Relation enhancement for noise resistance in open-world link prediction
    Xiaobo Jiang, Yongru Chen · 2025 · Expert Systems with Applications
29. Pre-trained Model Enhanced Contrastive Knowledge Graph Completion
    Lin Wang, Yuan Wang, Wuying Liu · 2024 · IEEE International Conference on Knowledge Graph (ICKG)
30. Automatic Classification of Secondary and High School Students Dropout Risk via Knowledge Graphs and Machine Learning
    Daniel Zapata-Medina, Albeiro Espinosa Bedoya, Jovani Alberto Jiménez Builes · 2025 · Lecture notes in computer science
31. Learning Explainable Malware Characterization Using Knowledge Base Embedding
    Daniel Trizna, Peter Anthony, Martin Homola · 2024
32. Integrated machine learning architectures for a knowledge graph embeddings (KGEs) approach
    Mamta Punjabi, Ratnalata Gupta, Arti Patle · 2025 · Elsevier eBooks
33. LP-DIXIT: Evaluating Explanations for Link Predictions on Knowledge Graphs using Large Language Models
    Roberto Barile, Claudia d’Amato, Nicola Fanizzi · 2025 · International World Wide Web Conference (WWW)
34. Global Augmentation and Local-aware Multi-view Graph Contrastive Learning
    Wen Li, Kairong Li, Kai Yang · 2025 · Physica A Statistical Mechanics and its Applications
35. Hierarchical Blockmodeling for Knowledge Graphs
    Marcin Pietrasik, Marek Reformat, Anna Wilbik · 2025 · Semantic Web
36. From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
    Christoph Wehner, Chrysa Iliopoulou, Ute Schmid · 2026 · Machine Learning
37. Integrated Embedding Approach for Knowledge Base Completion with CNN
    Samuel Chen, Shengyi Xie, Qingqiang Chen · 2020 · Information Technology And Control
38. Exploring the Runtime Performance of Knowledge Graph Embedding Methods
    Angelica Sofia Valeriani, Guido Walter Di Donato, Marco Domenico Santambrogio · 2021 · IEEE International Forum on Research and Technology for Society and Industry (RTSI)
39. A Framework for Knowledge-Derived Query Suggestions
    Saed Rezayi, Nedim Lipka, Vishwa Vinay · 2021 · IEEE International Conference on Big Data (BigData)
40. Leveraging Textual Information for Knowledge Graph-oriented Machine Learning: A Case Study in the Construction Industry
    Mehrzad Shahinmoghadam, Ali Motamedi, Mohammad Mostafa Soltani · 2022
41. KSG: Knowledge and Skill Graph
    Feng Zhao, Ziqi Zhang, Donglin Wang · 2022 · ACM International Conference on Information and Knowledge Management (CIKM)
42. Modelling Multi-relations for Convolutional-based Knowledge Graph Embedding
    Sirui Li, Kok Wai Wong, Dengya Zhu, Chun Che Fung · 2022 · Procedia Computer Science
43. Knowledge Graph Completion by Multi-Channel Translating Embeddings
    Honglin Fang, Peng Yu, Lei Feng, Fanqin Zhou, Wenjing Li, Ying Wang, Mingyu Zhao, Xueqiang Yan, Jianjun Wu · 2022 · IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
44. Adaptive Similarity Function with Structural Features of Network Embedding for Missing Link Prediction
    Chuanting Zhang, Ke-ke Shang, Jingping Qiao · 2021 · arXiv (Cornell University)
45. Peer Review #2 of "Relational graph convolutional networks: a closer look (v0.2)"
    2022
46. Proceedings of the 29th International Conference on Distributed Multimedia Systems
    2023 · Proceedings
47. Large language models poorly capture how word order shapes representations of sentence meaning in the human brain
    James Fodor, Carsten Murawski, Shinsuke Suzuki · 2026 · eLife
48. Machine learning techniques for automatic knowledge graph completion
    Armand Boschin · 2023 · theses.fr (ABES)
49. Evaluation and Integration of Structural Knowledge for Pre-trained Language Models
    Jesús Lovón-Melgarejo · 2024 · theses.fr (ABES)
50. Crowdsourcing for Building Knowledge Graphs at Scale from the Vatican Archives.
    Donatella Firmani, Paolo Merialdo A, Elena Nieddu · 2020
51. Interpreting Link Prediction on Knowledge Graphs.
    Andrea Rossi, Paolo Merialdo A, Donatella Firmani · 2020
52. Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs
    Simon Ott, Laura Graf, Asan Agibetov, Christian Meilicke, Matthias Samwald · 2020 · arXiv (Cornell University)
53. DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
    Chris Connell, Yang Wang · 2021 · arXiv (Cornell University)
54. Thematic recommendations on knowledge graphs using multilayer networks
    Mariano Beguerisse-Díaz, Dimitrios Korkinof, Till Hoffmann · 2021 · arXiv (Cornell University)
55. HOPLoP: Multi-hop Link Prediction over Knowledge Graph Embeddings
    Varun Ranganathan · 2021 · ERA: Education and Research Archive (University of Alberta)
56. Knowledge Graph Embedding for Link Prediction Models
    Ehtisham Ur Rehman, Aamir Saeed, Nasru Minallah · 2022 · Preprints.org
57. Explaining automatic answers generated from knowledge base embedding models.
    Andrey Ruschel · 2022 · Digital Library of Theses and Dissertations (Universidade de São Paulo)
58. Link Prediction with Mixed Structure Attribute of Network
    Minghu Tang · 2022 · Communications in computer and information science
59. Link prediction with Simple Graph Convolution and regularized Simple Graph Convolution
    Phuong Pho, Alexander V. Mantzaris · 2022
60. Neural Word Sense Disambiguation to Prune a Large Knowledge Graph of the Italian Cultural Heritage
    Erica Faggiani, Stefano Faralli, Paola Velardi · 2022 · Communications in computer and information science
61. Influence of Embeddings Construction Methods on Entity Alignment Approaches
    Daniil Ivanovich Gusev, Z. V. Apanovich · 2022 · Vestnik NSU Series Information Technologies
62. Cosine-Based Embedding for Completing Lightweight Schematic Knowledge in DL-Litecore
    Weizhuo Li, Xianda Zheng, Huan Gao, Qiu Ji, Guilin Qi · 2022 · Applied Sciences
63. Peer Review #3 of "Relational graph convolutional networks: a closer look (v0.1)"
    2022
64. Peer Review #1 of "Relational graph convolutional networks: a closer look (v0.1)"
    2022
65. Peer Review #1 of "Relational graph convolutional networks: a closer look (v0.2)"
    2022
66. Peer Review #2 of "Relational graph convolutional networks: a closer look (v0.1)"
    2022
67. Peer Review #3 of "Relational graph convolutional networks: a closer look (v0.2)"
    2022
68. TBRm: A Time Representation Method for Industrial Knowledge Graph
    Keyan Cao, Chuang Zheng · 2022 · Applied Sciences
69. Knowledge Graph Embedding based on Line Graph Attention Mechanism
    Bo Liu, Jiahui Wu, Enju Wu · 2022 · Research Square
70. An Explainable Approach to Semantic Link Mining in Multi-sourced Dynamic Data
    Zhe Wang, Yi Sun, Hong Lin Wu · 2022 · Lecture notes in computer science
71. Feature Interactive Convolutional Network with Structure-Aware Information for Knowledge Graph Embedding
    Jiachuan Li, Aimin Li, Xiaohan Liu, Jing Li, Teng Liu · 2022 · International Joint Conference on Neural Networks (IJCNN)
72. Peer Review #3 of "Integrating multi-type aberrations from DNA and RNA through dynamic mapping gene space for subtype-specific breast cancer driver discovery (v0.1)"
    2023 · PeerJ
73. Peer Review #1 of "Integrating multi-type aberrations from DNA and RNA through dynamic mapping gene space for subtype-specific breast cancer driver discovery (v0.1)"
    2023 · PeerJ
74. Peer Review #2 of "Integrating multi-type aberrations from DNA and RNA through dynamic mapping gene space for subtype-specific breast cancer driver discovery (v0.1)"
    2023 · PeerJ
75. POSE: A Positional Embedding Model for Knowledge Hypergraph Link Prediction
    Zirui Chen, Xin Wang, Chenxu Wang, Zhao Li · 2023 · Lecture notes in computer science
76. A Review Focusing on Knowledge Graph Embedding Methods Exploiting External Information
    Yuxuan Chen, Jingbin Wang · 2023 · Lecture notes on data engineering and communications technologies
77. Can Incremental Learning help with KG Completion?
    Mayar Osama, Mervat Abu-Elkheir · 2023 · International Conference on Computer Science, Engineering and Applications (CSEA)
78. A Semantic Network Encoder for Associated Fact Prediction
    Nagamany Abirami, Sneha J, D. Shanmugavel · 2023 · International Journal for Research in Applied Science and Engineering Technology
79. DRL-based Multi-Hop Relational Reasoning for Personnel Management Knowledge Graph
    Shiang Liu, Kaijiang Li, Xiangqian Liu, Kaixuan Yu · 2023 · International Conference on Computer Engineering and Application (ICCEA)
80. Link Prediction in Knowledge Graphs (and its Relation to RDF2vec)
    Heiko Paulheim, Petar Ristoski, Jan Portisch · 2023 · Synthesis lectures on data, semantics and knowledge
81. Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs
    Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Ping Hu · 2023 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
82. Fusion of topological features by graph convolutional network for the classification of single-cell RNA sequencing data
    Julong Li, Deguang Chen, Zheyu Zheng, Jianrui Chen · 2023 · International Conference on Intelligent Computing and Signal Processing (ICSP)
83. CKGE: Improving Distance Based Knowledge Graph Embedding via Contrastive Learning
    Yafei Liu, Shuaishuai Zu, Li Li · 2023 · Lecture notes in computer science
84. Multimodal Link Prediction Method for Commodity Knowledge Graph
    Litao Zhang, Chunming Yang, Hui Zhang, Honghui Xiang · 2023 · International Conference on High Performance Compilation, Computing and Communications (HP3C)
85. Knowledge Graph Completion Using Multiple Embedding Representations for Intelligent Information Extraction from Technical Reports
    Hongwei Wang, Ziling Zhang, Xiuhua Liu · 2023 · International Conference on Information Science and Systems (ICISS)
86. Research on Knowledge Representation Methods for Fire Incidents Based on Knowledge Graphs
    Qiaohui Chu, Ying Chen · 2023 · International Conference on System Reliability and Safety Engineering (SRSE)
87. End-to-end Relation-Enhanced Learnable Graph Self-attention Network for Knowledge Graphs Embedding
    Shengchen Jiang, Hongbin Wang, Xiang Hua Hou · 2024 · Communications in computer and information science
88. SAMI: A Structure-Aware Multi-Partition Embedding Interaction Model for Accurate Link Prediction in Knowledge Graphs
    Shuai Gao, Ming Li, Zhao Jing, Junkang Shi · 2023 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
89. A Survey on Extraction of Relations using Knowledge Graphs in Various Applications
    Sri Vasavi Chandu, Manogna Grandhi, Chandu Venkata Phaneendra · 2023 · IEEE Silchar Subsection Conference (SILCON)
90. Data Information Technology Evaluation Algorithm Based on Knowledge Graph and Feature Recognition
    Yiqian Zhang · 2023 · IEEE International Conference on Computational Intelligence and Communication Networks (CICN)
91. Additional file 1 of Assessing the effects of hyperparameters on knowledge graph embedding quality
    Oliver Lloyd, Yi Liu, Tom R. Gaunt · 2023 · Figshare
92. GNN-to-MLP Distillation based on Structural Knowledge for Link Prediction
    Bing Liu, Xiao Tan, Xinfeng Zeng · 2023 · International Conference on Artificial Intelligence and Computer Engineering (ICAICE)
93. Knowledge Graph Decision Transformer:Conditional sequence decision-making model for Offline RL integrated with knowledge graph
    Shan He, Zhaoyang Lu · 2024 · Research Square
94. Towards Access Control for Machine Learning Embeddings
    Roman Matzutt · 2024 · European Interdisciplinary Cybersecurity Conference (EICC)
95. Structure-Augment based Long-Tailed Knowledge Graph Completion Model
    Jianrong Wang, Yi Tang, Dejun Hou, Jinchi Wang, Zechen Meng, Tianyi Xu · 2024 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
96. Multi-relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm
    Hongpu Liu, Jingfei Jiang, Kaixin Wang · 2024 · Lecture notes in computer science
97. MTKGCformer: A Multi-train Transformer-based Representation Learning for Knowledge Graph Completion task
    Bowen Deng, Ming Sun · 2024 · IEEE International Conference on Digital Signal Processing (DSP)
98. P05-22 Link prediction of the knowledge graph in the CTD database
    J. Jeon, G. Woo, Kyung Hwa Kim · 2024 · Toxicology Letters
99. The joint extraction of fact-condition statement and super relation in scientific text with table filling method
    Qizhi Chen, Hong Liang Yao, Diange Zhou · 2024 · Information Processing & Management
100. Research on circuit principle teaching based on knowledge graph
     Jiansen Ye · 2024