Výsledky vyhľadávania - "Network embeddings"

Using similarity network analysis to improve text similarity calculations

Autori: Witschard, Daniel Kucher, Kostiantyn Jusufi, Ilir a ďalší

Zdroj: Rekryteringar 21 eLLIIT – The Linköping – Lund Initiative on IT and Mobile Communication Applied Network Science. 10(1)

Predmety: Embeddings, Similarity networks, Text similarity calculations, Visual analytics, Network embeddings, Computational modelling, Item-based, Large datasets, Property, Similarity calculation, Similarity network, Text similarity, Text similarity calculation

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-27685
https://doi.org/10.1007/s41109-025-00699-7

Community detection on simplicial complexes

Autori: Ermolaev Egor

Zdroj: Applied Network Science, Vol 10, Iss 1, Pp 1-18 (2025)

Predmety: Community detection, Simplicial complexes, Higher-order networks, Network embeddings, Word2Vec adaptation, Hasse diagrams, Applied mathematics. Quantitative methods, T57-57.97

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2364-8228

Prístupová URL adresa: https://doaj.org/article/afb8b837436442d1be188621ed1542ac

Path Algebra-Driven Classification Solution to Realize User-Centric Performance-Oriented Virtual Network Embeddings

Autori: Stelios Prekas Panagiotis A. Karkazis Panagiotis Trakadas

Zdroj: Telecom, Vol 5, Iss 4, Pp 1129-1160 (2024)
Telecom

Predmety: TK7885-7895, path enumeration, Computer engineering. Computer hardware, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, path algebra, QA75.5-76.95, 02 engineering and technology, virtual network embeddings, composite metric

Prístupová URL adresa: https://doaj.org/article/79105080c3ee40dbbe315a7e65a3e262
https://pergamos.lib.uoa.gr/uoa/dl/object/3485667

Solving bilevel problems under uncertainty with embedded neural networks: Incorporating scenario sets as inputs

Autori: Isabela Fons Moreno-Palancas Rubén Ruiz Femenia Raquel Salcedo Díaz a ďalší

Zdroj: Digital Chemical Engineering, Vol 16, Iss , Pp 100253- (2025)

Predmety: Stochastic programming, Bilevel optimization, Neural network embeddings, Mixed-integer programming, Chemical engineering, TP155-156, Information technology, T58.5-58.64

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772508125000377; https://doaj.org/toc/2772-5081

Prístupová URL adresa: https://doaj.org/article/2cabc82c9a7940049aada9dadebe724c

Grounding force-directed network layouts with latent space models

Autori: Felix Gaisbauer Armin Pournaki Sven Banisch a ďalší

Zdroj: Journal of Computational Social Science, 6 (2), 707–739

Predmety: 0301 basic medicine, Social and Information Networks (cs.SI), FOS: Computer and information sciences, Technology, ddc:600, Network visualization, Force-directed layout algorithms, Network embeddings, Computer Science - Social and Information Networks, 01 natural sciences, Social networks, 03 medical and health sciences, 0103 physical sciences, Latent space models, 0101 mathematics

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2110.11772
https://publikationen.bibliothek.kit.edu/1000159416/150867203
https://publikationen.bibliothek.kit.edu/1000159416
https://doi.org/10.5445/IR/1000159416

Signed directed attention network

Autori: Yong Wu Binjun Wang Wei Li a ďalší

Zdroj: Computing. 105:1647-1671

Predmety: Signed link prediction, Attention mechanism, Network embeddings, Graph convolutional networks

SchemaWalk: Schema Aware Random Walks for Heterogeneous Graph Embedding

Autori: Samy, Ahmed E. Giaretta, Lodovico Kefato, Zekarias Tilahun a ďalší

Zdroj: WWW 2022 - Companion Proceedings of the Web Conference 2022. :1157-1166

Predmety: Heterogeneous Information Network, Network Embeddings, Random Walk, Representation Learning, Domain Knowledge, Graphic methods, Information services, Random processes, Graph embeddings, Heterogeneous graph, Heterogeneous information, Heterogeneous structures, Information networks, Network embedding, Random walkers, Heterogeneous networks

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-327049
https://doi.org/10.1145/3487553.3524728

Towards a linearly organised embedding space of biological networks

Autori: Xenos, Alexandros Dognin, Noel-Malod Pržulj, Nataša a ďalší

Prispievatelia: Xenos, Alexandros Dognin, Noel-Malod Pržulj, Nataša a ďalší

Zdroj: 5th Belgrade Bioinformatics Conference

Predmety: machine learning, network biology, bioinformatics, network embeddings

Prístupová URL adresa: https://imagine.imgge.bg.ac.rs/handle/123456789/2712
https://imagine.imgge.bg.ac.rs/bitstream/id/846423/BelBi2024-Book-of-Abstracts_1-16
51
141-142.pdf
https://hdl.handle.net/21.15107/rcub_imagine_2712

The resurgence of structure in deep neural networks

Autori: Veličković, Petar Liò, Pietro

Prispievatelia: Veličković, Petar Liò, Pietro

Predmety: structural inductive biases, machine learning, deep learning, deep neural networks, graph neural networks, graph convolutional networks, graph attention networks, deep graph infomax, mutual information, unsupervised learning, infomax, graph convolutions, attention, self-attention, cross-modal, antibody, antigen, a` trous, paratope, audiovisual, multimodal, cross-connections, classification, human weight fluctuation, weight objective prediction, convolutional neural networks, recurrent neural networks, fitness data, x-cnn, x-lstm, gat, dgi, sparse datasets, multi-omics, bioinformatics, cortical meshes, graph attention, parcellation, neuroimaging, cortex parcellation, network embeddings, graph embeddings, model selection, structure learning, evolutionary neural networks, optimisation algorithms, neural networks, unsupervised node embedding

Prístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.774772

Development of a machine learning-based pipeline able to predict genes associated with diseases and cell processes using interpretable network embeddings

Autori: Coelho, Alexandre Filipe dos Reis Pinto, Francisco Rodrigues Repositório Científico de Acesso Aberto da ULisboa

Prispievatelia: Coelho, Alexandre Filipe dos Reis Pinto, Francisco Rodrigues Repositório Científico de Acesso Aberto da ULisboa

Zdroj: urn:tid:203491785

Predmety: Aprendizagem automática, Redes Biológicas, Associações Doença-Proteína, Associações Processo-Proteína, Network Embeddings, Teses de mestrado - 2023

Popis súboru: application/pdf

Dostupnosť: http://hdl.handle.net/10451/56001

DANES:Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News Detection

Autori: Truică, Ciprian Octavian Apostol, Elena Simona Karras, Panagiotis

Zdroj: Truică , C O , Apostol , E S & Karras , P 2024 , ' DANES : Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News Detection ' , Knowledge-Based Systems , vol. 294 , 111715 . https://doi.org/10.1016/j.knosys.2024.111715

Predmety: Ensemble model, Fake News Detection, Network embeddings, Social network analysis, Word embeddings

Popis súboru: application/pdf

Dostupnosť: https://researchprofiles.ku.dk/da/publications/1d4caf95-74e0-42af-a2fe-31a9bebc8fc4
https://doi.org/10.1016/j.knosys.2024.111715
https://curis.ku.dk/ws/files/388957769/DANES.pdf

A functional analysis of omic network embedding spaces reveals key altered functions in cancer

Autori: Sergio Doria-Belenguer Alexandros Xenos Gaia Ceddia a ďalší

Prispievatelia: Sergio Doria-Belenguer Alexandros Xenos Gaia Ceddia a ďalší

Zdroj: Bioinformatics
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Predmety: Original Paper, Gene Ontology Biological Process (GO BP), Omics technologies, Network embeddings, Genomics, 3. Good health, Functional Mapping Matrix (FMM), Simulació per ordinador, Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica, Neoplasms, Humans, Software, Algorithms, Cancer, Retrospective Studies

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37084262
https://discovery-pp.ucl.ac.uk/id/eprint/10187902/

A comparison of methods for link sign prediction with signed network embeddings

Autori: Mitrovic, Sandra Lecoutere, Laurent De Weerdt, Jochen a ďalší

Prispievatelia: Mitrovic, Sandra Lecoutere, Laurent De Weerdt, Jochen a ďalší

Zdroj: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. :1089-1096

Predmety: Technology, Science & Technology, Computer Science, Information Systems, Signed Network Embeddings, Computer Science, Telecommunications, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Signed Social Networks, Computer Science, Artificial Intelligence, Link Sign Prediction

Prístupová URL adresa: https://lirias.kuleuven.be/bitstream/123456789/639919/2/ASONAM_SignedRepr.pdf
https://dblp.uni-trier.de/db/conf/asunam/asonam2019.html#MitrovicLW19
https://lirias.kuleuven.be/handle/123456789/639919
https://doi.org/10.1145/3341161.3345335

Human Values and Attitudes towards Vaccination in Social Media

Autori: Kalimeri K. Bonanomi A. Beiro M. G. a ďalší

Zdroj: Companion Proceedings of The 2019 World Wide Web Conference. :248-254

Predmety: Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Computers and Society, 03 medical and health sciences, 0302 clinical medicine, Computers and Society (cs.CY), 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Social and Information Networks, 02 engineering and technology, Communication campaigns, Facebook, Moral foundations, Network embeddings, Personality traits, Political views, Social media, Vaccine hesitancy, 3. Good health

Prístupová URL adresa: http://arxiv.org/pdf/1904.00691
http://arxiv.org/abs/1904.00691
http://ui.adsabs.harvard.edu/abs/2019arXiv190400691K/abstract
https://arxiv.org/abs/1904.00691
https://arxiv.org/pdf/1904.00691
https://arxiv.org/pdf/1904.00691.pdf
https://dblp.uni-trier.de/db/journals/corr/corr1904.html#abs-1904-00691
https://publicatt.unicatt.it/handle/10807/141933
https://arxiv.org/abs/1904.00691
https://dl.acm.org/doi/pdf/10.1145/3308560.3316489
https://dl.acm.org/citation.cfm?id=3316489
http://dl.acm.org/citation.cfm?id=3308560
https://doi.org/10.1145/3308560.3316489
https://hdl.handle.net/10807/141933

On the Hardness and Inapproximability of Virtual Network Embeddings

Autori: Matthias Rost Stefan Schmid

Zdroj: IEEE/ACM Transactions on Networking

Predmety: COMPLEXITY, network virtualization, computational complexity, inapproximability, Network virtualization, 0102 computer and information sciences, 02 engineering and technology, 102025 Distributed systems, 01 natural sciences, 0202 electrical engineering, electronic engineering, information engineering, ddc:004, 102025 Verteilte Systeme, 004 Datenverarbeitung, Informatik, virtual network embeddings

Popis súboru: application/pdf

Prístupová URL adresa: https://depositonce.tu-berlin.de/bitstream/11303/12927/4/rost_schmid_2020.pdf
https://depositonce.tu-berlin.de/handle/11303/12927
https://depositonce.tu-berlin.de/bitstream/11303/12927/4/rost_schmid_2020.pdf
https://doi.org/10.1109/TNET.2020.2975646
https://do.tu-berlin.de/handle/11303/12927
https://dl.acm.org/doi/10.1109/TNET.2020.2975646
https://dblp.uni-trier.de/db/journals/ton/ton28.html#RostS20
https://depositonce.tu-berlin.de/handle/11303/12927

Constructing knowledge graphs and their biomedical applications

Autori: David N. Nicholson Casey S. Greene

Zdroj: Comput Struct Biotechnol J
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 1414-1428 (2020)

Predmety: Lterature review, 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, knowledge graphs, Text mining, Natural language processing, Machine learning, Network embeddings, Review Article, TP248.13-248.65, Biotechnology

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/32637040
https://doaj.org/article/e7dff1b2494a4be290867d18dc3a768d
https://greenelab.github.io/knowledge-graph-review/manuscript.pdf
https://pubmed.ncbi.nlm.nih.gov/32637040/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327409
https://www.sciencedirect.com/science/article/pii/S2001037020302804
https://greenelab.github.io/knowledge-graph-review/
https://pubag.nal.usda.gov/catalog/6979926

HeteEdgeWalk: A Heterogeneous Edge Memory Random Walk for Heterogeneous Information Network Embedding

Autori: Zhenpeng Liu Shengcong Zhang Jialiang Zhang a ďalší

Zdroj: Entropy, Vol 25, Iss 7, p 998 (2023)

Predmety: network embeddings, random walk, heterogeneous information network, representation learning, edge sampling, Science, Astrophysics, QB460-466, Physics, QC1-999

Relation: https://www.mdpi.com/1099-4300/25/7/998; https://doaj.org/toc/1099-4300; https://doaj.org/article/a90dbb934546458392708c6766925deb

Dostupnosť: https://doi.org/10.3390/e25070998
https://doaj.org/article/a90dbb934546458392708c6766925deb

Social network embeddings for churn prediction

Autori: Santos, Hugo Filipe Paulino dos

Predmety: Customer churn, Social network analysis, Network embeddings, Rotatividade de clientes, Análise de redes sociais, Representações latente de rede

Popis súboru: application/pdf

Dostupnosť: http://hdl.handle.net/10071/22051

Task-specific Temporal Node Embedding

Autori: Haddad, Mounir Bothorel, Cécile Lenca, Philippe a ďalší

Prispievatelia: Haddad, Mounir Bothorel, Cécile Lenca, Philippe a ďalší

Zdroj: French Regional Conference on Complex Systems ; https://hal.science/hal-03274101 ; French Regional Conference on Complex Systems, May 2021, Dijon, France

Predmety: Latent representations, Graph representation learning, Dynamic network embeddings, [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Geografické téma: Dijon, France

Dostupnosť: https://hal.science/hal-03274101
https://hal.science/hal-03274101v1/document
https://hal.science/hal-03274101v1/file/taskSpecificTN2V_FRCCS_HAL.pdf

J-S divergence scores and median income differences between highest and lowest income communities.

Autori: Devashish Khulbe Stanislav Sobolevsky

Predmety: Science Policy, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, results offer insights, median household income, evolving population dynamics, distinguish socioeconomic groups, urban perimeters shaped, urban community detection, graph neural network, building meaningful representations, nodes &# 8217, leveraging graph embeddings, granular urban areas, census mobility data, cities , urban areas, various cities, urban science, urban delineation, network embeddings, dimensional representations, wider effects, shifting economic, shedding light, regional delineation, powerful alternative, labor landscapes, informing policymakers, facilitating comparisons

Dostupnosť: https://doi.org/10.1371/journal.pcsy.0000061.t003
https://figshare.com/articles/dataset/J-S_divergence_scores_and_median_income_differences_between_highest_and_lowest_income_communities_/29883688