Results 41 to 50 of about 574,210 (309)

Antenna representation in two-port network scattering parameter [PDF]

, 2011
This paper proposes a representation of antenna in two-port network s-parameter, by exploiting the analogy between the antenna and a two-port network, to produce a suitable method for evaluating antennas in system and circuit simulation.
Ghassemlooy, Zabih, Rahman, Tharek, Tharek Abdul Rahman, Razali Ngah, Prakoso, Teguh, Teguh Prakoso, Ngah, Razali, Zabih Ghassemlooy, Abd. Rahman, Tharek   +8 more
core   +1 more source

Exponential networks and representations of quivers [PDF]

Journal of High Energy Physics, 2017
82 pages, 60 figures, typos ...
Eager, Richard, Selmani, Sam, Walcher, Johannes   +2 more
openaire   +3 more sources

Multi-view learning-based heterogeneous network representation learning

Journal of King Saud University: Computer and Information Sciences, 2023
Network representation learning is an important tool for extracting latent features from heterogeneous networks to enhance downstream analysis tasks. However, for heterogeneous networks in the era of big data, their heterogeneity, unseen network noises ...
Lei Chen, Yuan Li, Xingye Deng
doaj   +1 more source

Robust and fast representation learning for heterogeneous information networks

Frontiers in Physics, 2023
Network representation learning is an important tool that can be used to optimize the speed and performance of downstream analysis tasks by extracting latent features of heterogeneous networks. However, in the face of new challenges of increasing network
Yong Lei, Yong Lei, Lei Chen, Yuan Li, Ruifeng Xiao, Zhaohua Liu   +5 more
doaj   +1 more source

Attributed Network Representation Learning Based on Matrix Factorization [PDF]

Jisuanji gongcheng, 2020
To combine the information of network topological structure and node attribute to improve the quality of network representation learning,this paper proposes a new attributed network representation learning algorithm,named ANEMF.The algorithm introduces ...
ZHANG Pan, LU Guangyue, Lü Shaoqing, ZHAO Xueli
doaj   +1 more source

A Complete Neural Network-Based Representation of High-Dimension Convolutional Neural Networks

Mathematics
Convolutional Neural Networks (CNNs) are a highly used machine learning architecture in various fields. Typical descriptions of CNNs are based on low-dimension and tensor representations in the feature extraction part.
Ray-Ming Chen
doaj   +1 more source

Network Representation Learning Algorithm Based on Complete Subgraph Folding

Mathematics, 2022
Network representation learning is a machine learning method that maps network topology and node information into low-dimensional vector space. Network representation learning enables the reduction of temporal and spatial complexity in the downstream ...
Dongming Chen, Mingshuo Nie, Jiarui Yan, Dongqi Wang, Qianqian Gan   +4 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection

EPJ Data Science, 2020
Complex systems, represented as dynamic networks, comprise of components that influence each other via direct and/or indirect interactions. Recent research has shown the importance of using Higher-Order Networks (HONs) for modeling and analyzing such ...
Mandana Saebi, Jian Xu, Lance M. Kaplan, Bruno Ribeiro, Nitesh V. Chawla   +4 more
doaj   +1 more source

Network representation learning systematic review: Ancestors and current development state

Machine Learning with Applications, 2021
Real-world information networks are increasingly occurring across various disciplines including online social networks and citation networks. These network data are generally characterized by sparseness, nonlinearity and heterogeneity bringing different ...
Amina Amara, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha   +2 more
doaj   +1 more source