FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2950723285> ?p ?o ?g. }

• W2950723285 endingPage "2270" @default.
• W2950723285 startingPage "2257" @default.
• W2950723285 abstract "Embedding network data into a low-dimensional vector space has shown promising performance for many real-world applications, such as node classification and entity retrieval. However, most existing methods focused only on leveraging network structure. For social networks, besides the network structure, there also exists rich information about social actors, such as user profiles of friendship networks and textual content of citation networks. These rich attribute information of social actors reveal the homophily effect, exerting huge impacts on the formation of social networks. In this paper, we explore the rich evidence source of attributes in social networks to improve network embedding. We propose a generic Social Network Embedding framework (SNE), which learns representations for social actors (i.e., nodes) by preserving both the structural proximity and attribute proximity. While the structural proximity captures the global network structure, the attribute proximity accounts for the homophily effect. To justify our proposal, we conduct extensive experiments on four real-world social networks. Compared to the state-of-the-art network embedding approaches, SNE can learn more informative representations, achieving substantial gains on the tasks of link prediction and node classification. Specifically, SNE significantly outperforms node2vec with an 8.2% relative improvement on the link prediction task, and a 12.7% gain on the node classification task." @default.
• W2950723285 created "2019-06-27" @default.
• W2950723285 creator A5038668215 @default.
• W2950723285 creator A5042324027 @default.
• W2950723285 creator A5081165986 @default.
• W2950723285 creator A5089404640 @default.
• W2950723285 date "2018-12-01" @default.
• W2950723285 modified "2023-10-14" @default.
• W2950723285 title "Attributed Social Network Embedding" @default.
• W2950723285 cites W1615991656 @default.
• W2950723285 cites W1751403428 @default.
• W2950723285 cites W1980657874 @default.
• W2950723285 cites W1994389483 @default.
• W2950723285 cites W2001141328 @default.
• W2950723285 cites W2013416264 @default.
• W2950723285 cites W2022322548 @default.
• W2950723285 cites W2022704179 @default.
• W2950723285 cites W2041834238 @default.
• W2950723285 cites W2053186076 @default.
• W2950723285 cites W2062797058 @default.
• W2950723285 cites W2081684918 @default.
• W2950723285 cites W2090891622 @default.
• W2950723285 cites W2130354913 @default.
• W2950723285 cites W2144799688 @default.
• W2950723285 cites W2150256170 @default.
• W2950723285 cites W2150461699 @default.
• W2950723285 cites W2157085604 @default.
• W2950723285 cites W2161136893 @default.
• W2950723285 cites W2165636119 @default.
• W2950723285 cites W2194775991 @default.
• W2950723285 cites W2250539671 @default.
• W2950723285 cites W2295739661 @default.
• W2950723285 cites W2336920772 @default.
• W2950723285 cites W2340502990 @default.
• W2950723285 cites W2393319904 @default.
• W2950723285 cites W2407712691 @default.
• W2950723285 cites W2424350373 @default.
• W2950723285 cites W2475334473 @default.
• W2950723285 cites W2517540742 @default.
• W2950723285 cites W2527464456 @default.
• W2950723285 cites W2604438604 @default.
• W2950723285 cites W2604849926 @default.
• W2950723285 cites W2605350416 @default.
• W2950723285 cites W2622489478 @default.
• W2950723285 cites W2739846959 @default.
• W2950723285 cites W2962756421 @default.
• W2950723285 cites W2962805116 @default.
• W2950723285 cites W2963323306 @default.
• W2950723285 cites W3104097132 @default.
• W2950723285 cites W3105705953 @default.
• W2950723285 cites W4246354968 @default.
• W2950723285 cites W950821216 @default.
• W2950723285 doi "https://doi.org/10.1109/tkde.2018.2819980" @default.
• W2950723285 hasPublicationYear "2018" @default.
• W2950723285 type Work @default.
• W2950723285 sameAs 2950723285 @default.
• W2950723285 citedByCount "303" @default.
• W2950723285 countsByYear W29507232852018 @default.
• W2950723285 countsByYear W29507232852019 @default.
• W2950723285 countsByYear W29507232852020 @default.
• W2950723285 countsByYear W29507232852021 @default.
• W2950723285 countsByYear W29507232852022 @default.
• W2950723285 countsByYear W29507232852023 @default.
• W2950723285 crossrefType "journal-article" @default.
• W2950723285 hasAuthorship W2950723285A5038668215 @default.
• W2950723285 hasAuthorship W2950723285A5042324027 @default.
• W2950723285 hasAuthorship W2950723285A5081165986 @default.
• W2950723285 hasAuthorship W2950723285A5089404640 @default.
• W2950723285 hasBestOaLocation W29507232852 @default.
• W2950723285 hasConcept C114614502 @default.
• W2950723285 hasConcept C114713312 @default.
• W2950723285 hasConcept C119857082 @default.
• W2950723285 hasConcept C124101348 @default.
• W2950723285 hasConcept C127413603 @default.
• W2950723285 hasConcept C136764020 @default.
• W2950723285 hasConcept C142189719 @default.
• W2950723285 hasConcept C154945302 @default.
• W2950723285 hasConcept C15744967 @default.
• W2950723285 hasConcept C162324750 @default.
• W2950723285 hasConcept C187736073 @default.
• W2950723285 hasConcept C23123220 @default.
• W2950723285 hasConcept C2522767166 @default.
• W2950723285 hasConcept C2778736484 @default.
• W2950723285 hasConcept C2779812341 @default.
• W2950723285 hasConcept C2780451532 @default.
• W2950723285 hasConcept C33923547 @default.
• W2950723285 hasConcept C34947359 @default.
• W2950723285 hasConcept C36647736 @default.
• W2950723285 hasConcept C41008148 @default.
• W2950723285 hasConcept C41608201 @default.
• W2950723285 hasConcept C4727928 @default.
• W2950723285 hasConcept C518677369 @default.
• W2950723285 hasConcept C62611344 @default.
• W2950723285 hasConcept C66938386 @default.
• W2950723285 hasConcept C77805123 @default.
• W2950723285 hasConcept C80444323 @default.
• W2950723285 hasConceptScore W2950723285C114614502 @default.
• W2950723285 hasConceptScore W2950723285C114713312 @default.

• next