Results 41 to 50 of about 353,222 (280)

Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference [PDF]

, 2018
Inferring air quality from a limited number of observations is an essential task for monitoring and controlling air pollution. Existing inference methods typically use low spatial resolution data collected by fixed monitoring stations and infer the ...
Aguirre, Angel Lopez, Deligiannis, Nikos, Do, Tien Huu, La Manna, Valerio Panzica, Nguyen, Duc Minh, Pasveer, Frank, Philips, Wilfried, Tsiligianni, Evaggelia   +7 more
core   +2 more sources

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

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

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

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

Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach

, 2017
Knowledge base completion (KBC) aims to predict missing information in a knowledge base.In this paper, we address the out-of-knowledge-base (OOKB) entity problem in KBC:how to answer queries concerning test entities not observed at training time ...
Hamaguchi, Takuo, Matsumoto, Yuji, Oiwa, Hidekazu, Shimbo, Masashi   +3 more
core   +1 more source

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs [PDF]

, 2019
Knowledge graph embedding aims to learn distributed representations for entities and relations, and is proven to be effective in many applications. Crossover interactions --- bi-directional effects between entities and relations --- help select related ...
Bordes Antoine, Bordes Antoine, Glorot Xavier, Ji Guoliang, Lin Yankai, Liu Hanxiao, Nickel Maximilian, Nickel Maximilian, Shi Baoxu, Srivastava Nitish, Trouillon Théo, Wang Quan, Wang Zhen, Xie Ruobing, Yang Bishan   +14 more
core   +1 more source

Knowledge Enhanced Graph Neural Networks for Graph Completion

, 2023
Graph data is omnipresent and has a wide variety of applications, such as in natural science, social networks, or the semantic web. However, while being rich in information, graphs are often noisy and incomplete. As a result, graph completion tasks, such as node classification or link prediction, have gained attention. On one hand, neural methods, such
Werner, Luisa, Layaïda, Nabil, Genevès, Pierre, Chlyah, Sarah   +3 more
openaire   +3 more sources

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

Molecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic, Anne Nørremølle, Lilian Bomme Ousager, Lars van Brakel Andersen, Marie Louise Mølgaard Binderup, Mads Thomassen   +5 more
wiley   +1 more source