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200 10$aGRADES & NDA '23 $eProceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) /$fOlaf Hartig, Yuichi Yoshida
210  1$aNew York, NY :$cAssociation for Computing Machinery,$d2023.
215   $a1 online resource  (61 pages)
311   $a979-84-00-70201-3 
330   $aGRADES-NDA 2023 is the sixth joint meeting of the GRADES and NDA workshops, which were each independently organized at previous SIGMOD-PODS meetings, GRADES since 2013 and NDA since 2016. The focus of the GRADES-NDA workshop is the application areas, usage scenarios and open challenges in managing largescale graph-shaped data. The workshop is a forum for exchanging ideas and methods for mining, querying, and learning with real-world network data, developing new common understandings of the problems at hand, sharing of data sets and benchmarks where applicable, and leveraging existing knowledge from different disciplines. GRADES-NDA aims to present technical contributions inside graph, RDF, and other data management systems on massive graphs. The purpose of this workshop is to bring together researchers from academia, industry, and government to create a forum for discussing recent advances in large-scale graph data management and analytics systems, as well as propose and discuss novel methods and techniques towards addressing domain specific challenges and handling noise in real-world graphs.
517   $aProceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems 
606   $aData mining$vCongresses
606   $aDatabase management$vCongresses
615  0$aData mining
615  0$aDatabase management
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702   $aYoshida$b Yuichi
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