Matches in SemOpenAlex for { <https://semopenalex.org/work/W3147142788> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W3147142788 abstract "We study the community detection problem by embedding the nodes of a graph into a n-dimensional space such that similar nodes remain close in their representations. There are many state-of-the-art methods, like node2vec and DeepWalk to compute node embeddings with the use of second order random walks. These techniques borrow methods like the Skip-Gram model, used in the domain of Natural Language Processing (NLP) to compute word embeddings. This paper explores the idea of porting the GloVe (Global Vectors for Word Representation) model, a popular technique for word embeddings, to a new method called GloVeNoR, to compute node embeddings in a graph, and creating a corpus with the use of second order random walks. We evaluate the model's quality by comparing it against node2vec and DeepWalk on the problem of community detection on five different data sets. We observe that GloVeNoR discovers similar or better communities than the other existing models on all the datasets based on the modularity score." @default.
- W3147142788 created "2021-04-13" @default.
- W3147142788 creator A5006804080 @default.
- W3147142788 creator A5040358451 @default.
- W3147142788 creator A5078853178 @default.
- W3147142788 date "2020-12-07" @default.
- W3147142788 modified "2023-09-24" @default.
- W3147142788 title "GloVeNoR: GloVe for Node Representations with Second Order Random Walks" @default.
- W3147142788 cites W2017257315 @default.
- W3147142788 cites W2093216920 @default.
- W3147142788 cites W2095293504 @default.
- W3147142788 cites W2108614537 @default.
- W3147142788 cites W2131681506 @default.
- W3147142788 cites W2142517301 @default.
- W3147142788 cites W2250539671 @default.
- W3147142788 cites W2962756421 @default.
- W3147142788 cites W2964051531 @default.
- W3147142788 cites W3104097132 @default.
- W3147142788 cites W3105440105 @default.
- W3147142788 cites W3124443731 @default.
- W3147142788 doi "https://doi.org/10.1109/asonam49781.2020.9381347" @default.
- W3147142788 hasPublicationYear "2020" @default.
- W3147142788 type Work @default.
- W3147142788 sameAs 3147142788 @default.
- W3147142788 citedByCount "2" @default.
- W3147142788 countsByYear W31471427882021 @default.
- W3147142788 countsByYear W31471427882023 @default.
- W3147142788 crossrefType "proceedings-article" @default.
- W3147142788 hasAuthorship W3147142788A5006804080 @default.
- W3147142788 hasAuthorship W3147142788A5040358451 @default.
- W3147142788 hasAuthorship W3147142788A5078853178 @default.
- W3147142788 hasConcept C105795698 @default.
- W3147142788 hasConcept C106251023 @default.
- W3147142788 hasConcept C121194460 @default.
- W3147142788 hasConcept C127413603 @default.
- W3147142788 hasConcept C132525143 @default.
- W3147142788 hasConcept C154945302 @default.
- W3147142788 hasConcept C17744445 @default.
- W3147142788 hasConcept C199360897 @default.
- W3147142788 hasConcept C199539241 @default.
- W3147142788 hasConcept C2524010 @default.
- W3147142788 hasConcept C2776359362 @default.
- W3147142788 hasConcept C2777904410 @default.
- W3147142788 hasConcept C33923547 @default.
- W3147142788 hasConcept C41008148 @default.
- W3147142788 hasConcept C41608201 @default.
- W3147142788 hasConcept C62611344 @default.
- W3147142788 hasConcept C66938386 @default.
- W3147142788 hasConcept C75564084 @default.
- W3147142788 hasConcept C80444323 @default.
- W3147142788 hasConcept C90805587 @default.
- W3147142788 hasConcept C94625758 @default.
- W3147142788 hasConceptScore W3147142788C105795698 @default.
- W3147142788 hasConceptScore W3147142788C106251023 @default.
- W3147142788 hasConceptScore W3147142788C121194460 @default.
- W3147142788 hasConceptScore W3147142788C127413603 @default.
- W3147142788 hasConceptScore W3147142788C132525143 @default.
- W3147142788 hasConceptScore W3147142788C154945302 @default.
- W3147142788 hasConceptScore W3147142788C17744445 @default.
- W3147142788 hasConceptScore W3147142788C199360897 @default.
- W3147142788 hasConceptScore W3147142788C199539241 @default.
- W3147142788 hasConceptScore W3147142788C2524010 @default.
- W3147142788 hasConceptScore W3147142788C2776359362 @default.
- W3147142788 hasConceptScore W3147142788C2777904410 @default.
- W3147142788 hasConceptScore W3147142788C33923547 @default.
- W3147142788 hasConceptScore W3147142788C41008148 @default.
- W3147142788 hasConceptScore W3147142788C41608201 @default.
- W3147142788 hasConceptScore W3147142788C62611344 @default.
- W3147142788 hasConceptScore W3147142788C66938386 @default.
- W3147142788 hasConceptScore W3147142788C75564084 @default.
- W3147142788 hasConceptScore W3147142788C80444323 @default.
- W3147142788 hasConceptScore W3147142788C90805587 @default.
- W3147142788 hasConceptScore W3147142788C94625758 @default.
- W3147142788 hasLocation W31471427881 @default.
- W3147142788 hasOpenAccess W3147142788 @default.
- W3147142788 hasPrimaryLocation W31471427881 @default.
- W3147142788 hasRelatedWork W2892310698 @default.
- W3147142788 hasRelatedWork W2950907416 @default.
- W3147142788 hasRelatedWork W3035116611 @default.
- W3147142788 hasRelatedWork W3038102983 @default.
- W3147142788 hasRelatedWork W3044354590 @default.
- W3147142788 hasRelatedWork W3106263792 @default.
- W3147142788 hasRelatedWork W3149439221 @default.
- W3147142788 hasRelatedWork W4285120483 @default.
- W3147142788 hasRelatedWork W4287763734 @default.
- W3147142788 hasRelatedWork W4323323198 @default.
- W3147142788 isParatext "false" @default.
- W3147142788 isRetracted "false" @default.
- W3147142788 magId "3147142788" @default.
- W3147142788 workType "article" @default.