Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220956846> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W4220956846 abstract "Abstract Knowledge base completion (KBC) aims to predict missing information in a knowledge base. From a data governance perspective, KBC is an important task not only in knowledge management but also in downstream knowledge base applications. The prosperity of mobile applications and online systems enables devices to generate an enormous volume of data containing valuable knowledge. However, these data are vast and contain noise, so utilizing them in KBC requires particular skill. In this paper, we propose information fusion generative adversarial network (IFGAN) to handle heterogeneous data. We design a bidirectional learning architecture including a graph convolutional neural network and graph attention network to learn contextual embeddings that fuse knowledge from a knowledge base and data generated by an application. For efficient negative sampling, we employ different kinds of convolution structures, such as depthwise separable convolution and involution in the generator of the network. The convolution structure is known to be suitable for collaborative computing and promises great potential with the progress of technology since the structure is extensible. We demonstrate the effectiveness of the proposed model on KB4Rec dataset, the evaluation metrics MRR and H@10 were improved compared with previous models; the code is available at https://github.com/Tianchen627/IFGAN ." @default.
- W4220956846 created "2022-04-03" @default.
- W4220956846 creator A5016628328 @default.
- W4220956846 creator A5022173400 @default.
- W4220956846 creator A5056778338 @default.
- W4220956846 creator A5068537006 @default.
- W4220956846 date "2022-03-08" @default.
- W4220956846 modified "2023-10-16" @default.
- W4220956846 title "<scp>IFGAN</scp>: Information fusion generative adversarial network for knowledge base completion" @default.
- W4220956846 cites W1529533208 @default.
- W4220956846 cites W2016753842 @default.
- W4220956846 cites W2091359547 @default.
- W4220956846 cites W2094728533 @default.
- W4220956846 cites W2219888463 @default.
- W4220956846 cites W2250225488 @default.
- W4220956846 cites W2419128894 @default.
- W4220956846 cites W2531409750 @default.
- W4220956846 cites W2604314403 @default.
- W4220956846 cites W2607380417 @default.
- W4220956846 cites W2728059831 @default.
- W4220956846 cites W2759136286 @default.
- W4220956846 cites W2799103095 @default.
- W4220956846 cites W2806222045 @default.
- W4220956846 cites W2883722483 @default.
- W4220956846 cites W2911778742 @default.
- W4220956846 cites W2928560789 @default.
- W4220956846 cites W2945623882 @default.
- W4220956846 cites W2949182780 @default.
- W4220956846 cites W2950393809 @default.
- W4220956846 cites W2962739339 @default.
- W4220956846 cites W2962851801 @default.
- W4220956846 cites W2963125010 @default.
- W4220956846 cites W2963140444 @default.
- W4220956846 cites W2963169753 @default.
- W4220956846 cites W2963217826 @default.
- W4220956846 cites W2996998737 @default.
- W4220956846 cites W2997006708 @default.
- W4220956846 cites W2997837621 @default.
- W4220956846 cites W3012781334 @default.
- W4220956846 cites W3080746487 @default.
- W4220956846 cites W3090865871 @default.
- W4220956846 cites W3096831136 @default.
- W4220956846 cites W3118879517 @default.
- W4220956846 cites W3144064738 @default.
- W4220956846 cites W3195459588 @default.
- W4220956846 cites W4297971002 @default.
- W4220956846 doi "https://doi.org/10.1111/exsy.12984" @default.
- W4220956846 hasPublicationYear "2022" @default.
- W4220956846 type Work @default.
- W4220956846 citedByCount "0" @default.
- W4220956846 crossrefType "journal-article" @default.
- W4220956846 hasAuthorship W4220956846A5016628328 @default.
- W4220956846 hasAuthorship W4220956846A5022173400 @default.
- W4220956846 hasAuthorship W4220956846A5056778338 @default.
- W4220956846 hasAuthorship W4220956846A5068537006 @default.
- W4220956846 hasConcept C119857082 @default.
- W4220956846 hasConcept C124101348 @default.
- W4220956846 hasConcept C132525143 @default.
- W4220956846 hasConcept C154945302 @default.
- W4220956846 hasConcept C41008148 @default.
- W4220956846 hasConcept C4554734 @default.
- W4220956846 hasConcept C80444323 @default.
- W4220956846 hasConceptScore W4220956846C119857082 @default.
- W4220956846 hasConceptScore W4220956846C124101348 @default.
- W4220956846 hasConceptScore W4220956846C132525143 @default.
- W4220956846 hasConceptScore W4220956846C154945302 @default.
- W4220956846 hasConceptScore W4220956846C41008148 @default.
- W4220956846 hasConceptScore W4220956846C4554734 @default.
- W4220956846 hasConceptScore W4220956846C80444323 @default.
- W4220956846 hasIssue "6" @default.
- W4220956846 hasLocation W42209568461 @default.
- W4220956846 hasOpenAccess W4220956846 @default.
- W4220956846 hasPrimaryLocation W42209568461 @default.
- W4220956846 hasRelatedWork W2961085424 @default.
- W4220956846 hasRelatedWork W3046775127 @default.
- W4220956846 hasRelatedWork W3170094116 @default.
- W4220956846 hasRelatedWork W3209574120 @default.
- W4220956846 hasRelatedWork W4205958290 @default.
- W4220956846 hasRelatedWork W4285260836 @default.
- W4220956846 hasRelatedWork W4286629047 @default.
- W4220956846 hasRelatedWork W4306321456 @default.
- W4220956846 hasRelatedWork W4306674287 @default.
- W4220956846 hasRelatedWork W4224009465 @default.
- W4220956846 hasVolume "39" @default.
- W4220956846 isParatext "false" @default.
- W4220956846 isRetracted "false" @default.
- W4220956846 workType "article" @default.