Search Results - "Knowledge graph embedding"

ComHA: Knowledge Graph Embedding Model Integrating Geometric Transformations and Hierarchical Structures

Authors: LI Wenhao, ZHANG Dong, LI Guanyu

Source: Jisuanji gongcheng, Vol 51, Iss 11, Pp 123-132 (2025)

Subject Terms: knowledge graph, knowledge graph embedding, geometric transformation, hierarchical structure perception, link prediction, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-11-123.pdf; https://doaj.org/toc/1000-3428

Access URL: https://doaj.org/article/61ab40816f35485ead4b67a07253a38a

Designing the recommendation algorithm for inheritance of intangible cultural heritage using wireless knowledge graphs and collaborative filtering

Authors: Caijuan Liu Xianhui Cui

Source: Alexandria Engineering Journal, Vol 130, Iss , Pp 875-888 (2025)

Subject Terms: Data recommendation algorithm, Wireless knowledge graph, Collaborative filtering, Neighborhood aggregation method, Knowledge graph embedding, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1110016825009512; https://doaj.org/toc/1110-0168

Access URL: https://doaj.org/article/e3dec3d25e6e40299559c970e0022093

Untargeted Adversarial Attack on Knowledge Graph Embeddings

Authors: Tianzhe Zhao Jiaoyan Chen Yanchi Ru et al.

Source: Zhao, T, Chen, J, Ru, Y, Lin, Q, Geng, Y & Liu, J 2024, Untargeted Adversarial Attack on Knowledge Graph Embeddings. in Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 1701-1711. https://doi.org/10.1145/3626772.3657702

Subject Terms: FOS: Computer and information sciences, Rule Learning, Computer Science - Machine Learning, Computer Science - Cryptography and Security, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Knowledge Graph Embedding, Knowledge Graph Embedding, Knowledge Graph Completion, Adversarial Attack, Robustness, Knowledge Graph Completion, Cryptography and Security (cs.CR), Machine Learning (cs.LG)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2405.10970
https://research.manchester.ac.uk/en/publications/f50d245f-3a37-4055-870d-597d61826cc7
https://doi.org/10.1145/3626772.3657702
https://research.manchester.ac.uk/en/publications/f50d245f-3a37-4055-870d-597d61826cc7
https://doi.org/10.1145/3626772.3657702
https://pure.manchester.ac.uk/ws/files/303260169/SIGIR24_KGE_Robustness.pdf

RP-KGC: A Knowledge Graph Completion Model Integrating Rule-Based Knowledge for Pretraining and Inference

Authors: Wenying Guo Shengdong Du Jie Hu et al.

Source: Big Data Mining and Analytics, Vol 8, Iss 1, Pp 18-30 (2025)

Subject Terms: bidirectional encoder representation from transforms (bert) fine-tuning, knowledge graph completion (kgc), Electronic computers. Computer science, QA75.5-76.95, knowledge graph embedding

Access URL: https://doaj.org/article/c4561341e9ce4df49722295ffa1d842c

Study on Drug Repurposing for ALS Treatment Using Pre-trained Knowledge Graph Embeddings: Methods and Findings

Authors: Selcan Yalkızımı Ümit Şentürk

Source: Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 13, Iss 1, Pp 317-332 (2025)

Subject Terms: clinical trial drugs, Technology, Science (General), drug repurposing, Science, als (amyotrophic lateral sclerosis), klinik deneme ilaçları, Engineering (General). Civil engineering (General), Q1-390, pre-trained knowledge graph embedding, önceden eğitilmiş bilgi grafik gömme, i̇laç yeniden kullanımı, TA1-2040, als (amyotrofik lateral skleroz)

Access URL: https://doaj.org/article/ff2acd3cd07a4693852a7b3c3530d871

QUERY2BERT: Combining Knowledge Graph and Language Model for Reasoning on Logical Queries

Authors: Truong H. V. Phan Phuc do

Source: IEEE Access, Vol 13, Pp 16103-16119 (2025)

Subject Terms: K-D tree, multi-hop reasoning, k-NN, Electrical engineering. Electronics. Nuclear engineering, logical query, knowledge graph embedding, BERT, TK1-9971

Access URL: https://doaj.org/article/accf26e79ca74117aa99853c86c45518

Multi-relation-pattern knowledge graph embeddings for link prediction in hyperbolic space

Authors: Longxin Lin Huaibin Qin Quan Qi et al.

Source: International Journal of Intelligent Networks, Vol 6, Iss, Pp 57-64 (2025)

Subject Terms: Poincaré ball, Electronic computers. Computer science, Knowledge graph embedding, Hyperbolic geometry, Link prediction, QA75.5-76.95, Intelligent networks

Access URL: https://doaj.org/article/1ff6f08b0cc5481ba4b5f9bb575ebc6c

Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products

Authors: Van Thuy Hoang Tien-Bach-Thanh do Jinho Seo et al.

Source: IEEE Access, Vol 13, Pp 15158-15167 (2025)

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), relational graph attention networks, Computer Science - Artificial Intelligence, halal cosmetic prediction, Cosmetic knowledge graph embedding, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2501.05768
https://doaj.org/article/fab68e7367e94e36bc16982b92cebc6e

Prioritising explainable AI-driven recommendations with knowledge graphs and reinforcement learning

Authors: Neeraj Tiwary Shahrul Azman Mohd Noah Fariza Fauzi

Source: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 6, Pp 1-24 (2025)

Subject Terms: Explainable recommender system, Knowledge graph, Knowledge graph embedding, Reinforcement learning, Explainable artificial intelligence, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Access URL: https://doaj.org/article/7e51f38ae6464d948e6a2f7569d9a6a2

Knowledge graph completion based on iteratively learning embeddings and noise-aware rules

Authors: Jinglin Zhang Bo Shen

Source: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 6, Pp 1-17 (2025)

Subject Terms: Knowledge graph completion, Knowledge graph embedding, Rule evaluation, Noise filtering, Iterative learning, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Access URL: https://doaj.org/article/8f93e25606a349be975ae441e299848c

From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding

Authors: Borui Cai Yong Xiang Longxiang Gao et al.

Source: IEEE Transactions on Knowledge and Data Engineering. 36:8341-8348

Subject Terms: 0301 basic medicine, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Artificial Intelligence, deep neural network, 01 natural sciences, Machine Learning (cs.LG), representation learning, 03 medical and health sciences, parameter-efficiency, Artificial Intelligence (cs.AI), 0103 physical sciences, Knowledge graph embedding, Computation and Language (cs.CL)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2303.12816

A named entity recognition model embedding rehabilitation medicine Chinese character knowledge graph

Authors: Jinhong Zhong Zhou Cheng Shengping Liu et al.

Source: PeerJ Computer Science, Vol 11, p e3176 (2025)

Subject Terms: Named entity recognition, Rehabilitation medicine, Chinese character multi-feature, Knowledge graph embedding, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://peerj.com/articles/cs-3176.pdf; https://peerj.com/articles/cs-3176/; https://doaj.org/toc/2376-5992

Access URL: https://doaj.org/article/1bd6f128e3cc4b9b85c9bdef95359226

Knowledge graph embedding in library and information services

Authors: Mandal, Partha Sarathi Mandal, Sukumar

Source: Journal of Library and Information Communication Technology 14(1):59-64. 2025

An enhanced framework for knowledge graph embedding based on negative sample analogical reasoning

Authors: Huimin Li Yuhu Tao Dan Chen et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)

Subject Terms: Knowledge graph embedding, Link prediction, Negative sample analogical inference, Enhanced framework, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/bdd6f7494bfc40329d7a6530900ccb1a

Recommender systems based on neuro-symbolic knowledge graph embeddings encoding first-order logic rules

Authors: Spillo, Giuseppe Musto, Cataldo de Gemmis, Marco et al.

Contributors: Spillo, Giuseppe Musto, Cataldo de Gemmis, Marco et al.

Source: User Modeling and User-Adapted Interaction. 34:2039-2083

Subject Terms: Knowledge graph, Recommender systems, Knowledge graph embedding, Knowledge-aware recommender systems, Neuro-symbolic AI, First-order logic, First-order logic rules

Identification of source and sink points of population flow based on POI-KG embedding

Authors: Yanhao Li Rui Li Xinrui Liu et al.

Source: International Journal of Digital Earth, Vol 18, Iss 1 (2025)

Subject Terms: Mathematical geography. Cartography, knowledge graph embedding, GA1-1776, POI-KG, source and sink points of population flow

Access URL: https://doaj.org/article/9e270d18b4bf4445849660cced0af07a

Large-scale knowledge graph representation learning

Authors: Badrouni, Marwa Katar, Chaker Inoubli, Wissem et al.

Contributors: Badrouni, Marwa Katar, Chaker Inoubli, Wissem et al.

Source: Knowledge and Information Systems. 66:5479-5499

Subject Terms: Knowledge graph, Distributed learning, Translating embeddings (TransE), Knowledge graph embedding, [INFO]Computer Science [cs], Knowledge graph Knowledge graph embedding Distributed learning Translating embeddings (TransE)

Predicting Clinical Outcomes from Patient Care Pathways Represented with Temporal Knowledge Graphs

Authors: Jhee, Jong Ho Megina, Alberto Constant Dit Beaufils, Pacôme et al.

Contributors: Jhee, Jong Ho Megina, Alberto Constant Dit Beaufils, Pacôme et al.

Source: Lecture Notes in Computer Science ISBN: 9783031945748

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Knowledge graph embedding, Clinical data, Outcome prediction, Graph convolutional networks, Temporal knowledge graph, Machine Learning (cs.LG)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2502.21138
https://hal.science/hal-05136324v1
https://hal.science/hal-05136324v1/document
https://doi.org/10.1007/978-3-031-94575-5_16

Enhanced small-scale APT knowledge graph embedding via spatio-temporal attribute reasoning and adversarial negative sampling

Authors: Yushun Xie Haiyan Wang Xiao Jing et al.

Source: Array, Vol 26, Iss , Pp 100404- (2025)

Subject Terms: APT detection, APT knowledge graph, Knowledge graph embedding, Spatio-temporal attribute, Adversarial example, Synthetic example, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590005625000311; https://doaj.org/toc/2590-0056

Access URL: https://doaj.org/article/2ebcdc022b9c4a5f8f78d1e1cf1dd88e

Gene expression knowledge graph for patient representation and diabetes prediction

Authors: Rita T. Sousa Heiko Paulheim

Source: Journal of Biomedical Semantics, Vol 16, Iss 1, Pp 1-16 (2025)

Subject Terms: Diabetes prediction, Expression data, Knowledge graph, Ontology, Knowledge graph embedding, Representation learning, Computer applications to medicine. Medical informatics, R858-859.7

File Description: electronic resource

Relation: https://doaj.org/toc/2041-1480

Access URL: https://doaj.org/article/94dc05af3fd74774b67971bee81f3a55