그래프 특성 벡터의 희소성에 따른 GCN 추론 커널의 성능 분석
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gunjae Koo | - |
dc.date.accessioned | 2022-05-28T17:41:52Z | - |
dc.date.available | 2022-05-28T17:41:52Z | - |
dc.date.created | 2022-05-28 | - |
dc.date.issued | 2021-12-20 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/141384 | - |
dc.publisher | 한국정보과학회 | - |
dc.subject | 그래프신경망 | - |
dc.title | 그래프 특성 벡터의 희소성에 따른 GCN 추론 커널의 성능 분석 | - |
dc.title.alternative | Analyzing the Performance of GCN Inferences with respect to Sparsity of Graph Features | - |
dc.type | Conference | - |
dc.contributor.affiliatedAuthor | Gunjae Koo | - |
dc.identifier.bibliographicCitation | 2021 한국소프트웨어종합학술대회 (Korea Software Congress 2021), pp.1046 - 1048 | - |
dc.relation.isPartOf | 2021 한국소프트웨어종합학술대회 (Korea Software Congress 2021) | - |
dc.relation.isPartOf | 한국정보과학회 2021 한국소프트웨어종합학술대회 논문집 | - |
dc.citation.title | 2021 한국소프트웨어종합학술대회 (Korea Software Congress 2021) | - |
dc.citation.startPage | 1046 | - |
dc.citation.endPage | 1048 | - |
dc.citation.conferencePlace | KO | - |
dc.citation.conferenceDate | 2021-12-20 | - |
dc.type.rims | CONF | - |
dc.description.journalClass | 2 | - |
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