Results 41 to 50 of about 34,792 (262)

Knowledge Graph Completion with Knowledge Enhancement and Contrastive Learning [PDF]

Jisuanji gongcheng
Knowledge Graph Completion(KGC) is an important means of improving the quality of KGs. Existing methods for KGC are mainly divided into structure- and description-based methods.
Juan LIU, Youxiang DUAN, Yuxi LU, Lu ZHANG
doaj   +1 more source

A Few-Shot Knowledge Graph Completion Model With Neighbor Filter and Affine Attention

IEEE Access
In recent times, extensive scholarly focus has been directed towards the knowledge graph completion (KGC) due to the large number of triples that perform well in training tasks. However, the relations of realistic knowledge graphs (KGs) usually have long-
Hongfang Gong, Yingjing Ding, Minyi Ma
doaj   +1 more source

Active knowledge graph completion [PDF]

Information Sciences, 2022
Pouya Ghiasnezhad Omran, Kerry Taylor, Sergio José Rodríguez Méndez, Armin Haller   +3 more
openaire   +1 more source

Knowledge graph completion for scholarly knowledge graph

Bulletin of Social Informatics Theory and Application
Scholarly knowledge graph is a knowledge graph that is used to represent knowledge contained in scientific publication documents. The information we can find in a scientific publication document is as follows: author, institution, name of journal/conference, and research topic. A knowledge graph that has been built is usually still not perfect.
Taufiqurrahman Taufiqurrahman, Kemas Rahmat Saleh Wiharja, Gia Septiana Wulandari   +2 more
openaire   +1 more source

Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion [PDF]

, 2020
Learning embeddings of entities and relations existing in knowledge bases allows the discovery of hidden patterns in them. In this work, we examine the contribution of geometrical space to the task of knowledge base completion. We focus on the family of translational models, whose performance has been lagging.
Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis   +2 more
openaire   +2 more sources

Phase Angle as an Early Functional Biomarker of Cancer‐Related Fatigue in Pediatric Oncology: A Prospective Longitudinal Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric cancer remains a leading cause of morbidity and mortality worldwide, particularly in low‐and middle‐income countries. Cancer treatment may impair nutritional status, alter body composition, and exacerbate cancer‐related fatigue (CRF).
Luís Carlos Lopes‐Junior, Luiz Claudio Barreto Silva Neto, Fabiano Kenji Haraguchi, Letícia Batista de Azevedo, Marcelo Brenner Nascimento Carlini, Raphael Manhães Pessanha, Mariana Rabello Laignier, Wesley Rocha Grippa, Tania Mara Lopes Bitti Bortolini, Gláucia Zouain‐Figueiredo, Regina Aparecida Garcia de Lima, Liliana Vasquez   +11 more
wiley   +1 more source

Few-shot temporal knowledge graph completion based on meta-optimization

Complex & Intelligent Systems, 2023
Knowledge Graphs (KGs) have become an increasingly important part of artificial intelligence, and KGs have been widely used in artificial intelligence fields such as intelligent answering questions and personalized recommendation.
Lin Zhu, Luyi Bai, Shuo Han, Mingcheng Zhang   +3 more
doaj   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

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

Big Data Mining and Analytics
The objective of knowledge graph completion is to comprehend the structure and inherent relationships of domain knowledge, thereby providing a valuable foundation for knowledge reasoning and analysis.
Wenying Guo, Shengdong Du, Jie Hu, Fei Teng, Yan Yang, Tianrui Li   +5 more
doaj   +1 more source

Translation-Based Embeddings with Octonion for Knowledge Graph Completion

Applied Sciences, 2022
Knowledge representation learning achieves the automatic completion of knowledge graphs (KGs) by embedding entities into continuous low-dimensional vector space.
Mei Yu, Chen Bai, Jian Yu, Mankun Zhao, Tianyi Xu, Hongwei Liu, Xuewei Li, Ruiguo Yu   +7 more
doaj   +1 more source