Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912172430> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W2912172430 abstract "There is a great deal of interest in analyzing data that is best represented as a graph. Examples include the WWW, social networks, biological networks, communication networks, and many others. The importance of being able to effectively mine and learn from such data is growing, as more and more structured and semi-structured data is becoming available.Traditionally, a number of subareas have worked with mining and learning from graph structured data, including communities in graph mining, learning from structured data, statistical relational learning, inductive logic programming, and, moving beyond sub-disciplines in computer science, social network analysis, and, more broadly network science.The objective of this workshop is to bring together researchers from a variety of these areas, and discuss commonality and differences in challenges faced, survey some of the different approaches, and provide a forum to present and learn about some of the most cutting edge research in this area. As an outcome, we expect participants to walk away with a better sense of the variety of different tools available for graph mining and learning, and an appreciation for some of the interesting emerging applications for mining and learning from graphs." @default.
- W2912172430 created "2019-02-21" @default.
- W2912172430 creator A5047798029 @default.
- W2912172430 creator A5049583553 @default.
- W2912172430 creator A5086169451 @default.
- W2912172430 date "2010-07-24" @default.
- W2912172430 modified "2023-09-23" @default.
- W2912172430 title "Proceedings of the Eighth Workshop on Mining and Learning with Graphs" @default.
- W2912172430 hasPublicationYear "2010" @default.
- W2912172430 type Work @default.
- W2912172430 sameAs 2912172430 @default.
- W2912172430 citedByCount "2" @default.
- W2912172430 countsByYear W29121724302014 @default.
- W2912172430 countsByYear W29121724302015 @default.
- W2912172430 crossrefType "proceedings-article" @default.
- W2912172430 hasAuthorship W2912172430A5047798029 @default.
- W2912172430 hasAuthorship W2912172430A5049583553 @default.
- W2912172430 hasAuthorship W2912172430A5086169451 @default.
- W2912172430 hasConcept C114713312 @default.
- W2912172430 hasConcept C119857082 @default.
- W2912172430 hasConcept C124101348 @default.
- W2912172430 hasConcept C132525143 @default.
- W2912172430 hasConcept C136197465 @default.
- W2912172430 hasConcept C136764020 @default.
- W2912172430 hasConcept C154945302 @default.
- W2912172430 hasConcept C177877439 @default.
- W2912172430 hasConcept C2522767166 @default.
- W2912172430 hasConcept C2779382394 @default.
- W2912172430 hasConcept C41008148 @default.
- W2912172430 hasConcept C518677369 @default.
- W2912172430 hasConcept C5655090 @default.
- W2912172430 hasConcept C80444323 @default.
- W2912172430 hasConceptScore W2912172430C114713312 @default.
- W2912172430 hasConceptScore W2912172430C119857082 @default.
- W2912172430 hasConceptScore W2912172430C124101348 @default.
- W2912172430 hasConceptScore W2912172430C132525143 @default.
- W2912172430 hasConceptScore W2912172430C136197465 @default.
- W2912172430 hasConceptScore W2912172430C136764020 @default.
- W2912172430 hasConceptScore W2912172430C154945302 @default.
- W2912172430 hasConceptScore W2912172430C177877439 @default.
- W2912172430 hasConceptScore W2912172430C2522767166 @default.
- W2912172430 hasConceptScore W2912172430C2779382394 @default.
- W2912172430 hasConceptScore W2912172430C41008148 @default.
- W2912172430 hasConceptScore W2912172430C518677369 @default.
- W2912172430 hasConceptScore W2912172430C5655090 @default.
- W2912172430 hasConceptScore W2912172430C80444323 @default.
- W2912172430 hasLocation W29121724301 @default.
- W2912172430 hasOpenAccess W2912172430 @default.
- W2912172430 hasPrimaryLocation W29121724301 @default.
- W2912172430 hasRelatedWork W127601542 @default.
- W2912172430 hasRelatedWork W1523327453 @default.
- W2912172430 hasRelatedWork W1978748463 @default.
- W2912172430 hasRelatedWork W1979463971 @default.
- W2912172430 hasRelatedWork W2092819651 @default.
- W2912172430 hasRelatedWork W2155542234 @default.
- W2912172430 hasRelatedWork W2293241187 @default.
- W2912172430 hasRelatedWork W2398489094 @default.
- W2912172430 hasRelatedWork W2462160708 @default.
- W2912172430 hasRelatedWork W2615043415 @default.
- W2912172430 hasRelatedWork W2765369538 @default.
- W2912172430 hasRelatedWork W2912597586 @default.
- W2912172430 hasRelatedWork W2912848173 @default.
- W2912172430 hasRelatedWork W2916615007 @default.
- W2912172430 hasRelatedWork W2974630127 @default.
- W2912172430 hasRelatedWork W3086536841 @default.
- W2912172430 hasRelatedWork W3097044502 @default.
- W2912172430 hasRelatedWork W3105298605 @default.
- W2912172430 hasRelatedWork W3125701197 @default.
- W2912172430 hasRelatedWork W2105540804 @default.
- W2912172430 isParatext "false" @default.
- W2912172430 isRetracted "false" @default.
- W2912172430 magId "2912172430" @default.
- W2912172430 workType "article" @default.