{"id":"https://openalex.org/W2933101411","doi":"https://doi.org/10.1109/acit.2018.8672689","title":"Learning Graph Representation: A Comparative Study","display_name":"Learning Graph Representation: A Comparative Study","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2933101411","doi":"https://doi.org/10.1109/acit.2018.8672689","mag":"2933101411"},"language":"en","primary_location":{"id":"doi:10.1109/acit.2018.8672689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit.2018.8672689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Arab Conference on Information Technology (ACIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023991398","display_name":"Wael Etaiwi","orcid":"https://orcid.org/0000-0003-0421-7971"},"institutions":[{"id":"https://openalex.org/I158749337","display_name":"Princess Sumaya University for Technology","ror":"https://ror.org/01jy46q10","country_code":"JO","type":"education","lineage":["https://openalex.org/I158749337"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Wael Al Etaiwi","raw_affiliation_strings":["Computer Science Department, Princess Sumaya University for Technology (PSUT), Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Princess Sumaya University for Technology (PSUT), Amman, Jordan","institution_ids":["https://openalex.org/I158749337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062695565","display_name":"Arafat Awajan","orcid":"https://orcid.org/0000-0002-7067-5658"},"institutions":[{"id":"https://openalex.org/I158749337","display_name":"Princess Sumaya University for Technology","ror":"https://ror.org/01jy46q10","country_code":"JO","type":"education","lineage":["https://openalex.org/I158749337"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Arafat Awajan","raw_affiliation_strings":["Computer Science Department, Princess Sumaya University for Technology (PSUT), Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Princess Sumaya University for Technology (PSUT), Amman, Jordan","institution_ids":["https://openalex.org/I158749337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5069,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75689621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"abs 1710 9471","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7290686368942261},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6179346442222595},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5985695123672485},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5574945211410522},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.4646425247192383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4622248411178589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43381303548812866},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42546769976615906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7290686368942261},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6179346442222595},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5985695123672485},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5574945211410522},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.4646425247192383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4622248411178589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43381303548812866},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42546769976615906},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acit.2018.8672689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit.2018.8672689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Arab Conference on Information Technology (ACIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W36903255","https://openalex.org/W1614298861","https://openalex.org/W1888005072","https://openalex.org/W2001141328","https://openalex.org/W2053186076","https://openalex.org/W2090891622","https://openalex.org/W2138399168","https://openalex.org/W2154851992","https://openalex.org/W2156718197","https://openalex.org/W2415243320","https://openalex.org/W2420733993","https://openalex.org/W2610611548","https://openalex.org/W2753998599","https://openalex.org/W2766327801","https://openalex.org/W2792485195","https://openalex.org/W2950577311","https://openalex.org/W2951545510","https://openalex.org/W2962756421","https://openalex.org/W2963460103","https://openalex.org/W2963512530","https://openalex.org/W3100330855","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W4293651439","https://openalex.org/W4297814305","https://openalex.org/W6601546654","https://openalex.org/W6636510571","https://openalex.org/W6682755970","https://openalex.org/W6716303938","https://openalex.org/W6744557953","https://openalex.org/W6745398387","https://openalex.org/W6747581376"],"related_works":["https://openalex.org/W3149439221","https://openalex.org/W4287763734","https://openalex.org/W3035116611","https://openalex.org/W4285218279","https://openalex.org/W3203147499","https://openalex.org/W4386136067","https://openalex.org/W3211302945","https://openalex.org/W2932872266","https://openalex.org/W4286858940","https://openalex.org/W2018870022"],"abstract_inverted_index":{"Graphs":[0],"are":[1],"ubiquitous":[2],"and":[3,9,29,42,79,97,105,112],"allow":[4],"us":[5],"to":[6],"model":[7],"entities":[8],"the":[10,21,30,66,86,90,102],"relationships":[11],"between":[12],"them.":[13],"Graph":[14],"data":[15],"is":[16],"often":[17],"observed":[18],"directly":[19],"in":[20,65,75,82,93],"natural":[22],"world":[23],"(e.g.,":[24],"telecommunication":[25],"or":[26],"social":[27],"networks),":[28],"success":[31],"of":[32,68,95],"many":[33,43],"machine":[34],"learning":[35,48,78],"tasks":[36],"such":[37],"as":[38],"classification,":[39],"link":[40],"prediction,":[41],"others,":[44],"depends":[45],"mainly":[46],"on":[47],"a":[49],"useful":[50],"feature":[51],"representation":[52,70,77,110],"from":[53],"graph.":[54],"This":[55,99],"study":[56],"investigates":[57],"several":[58],"research":[59],"studies":[60],"that":[61],"have":[62],"been":[63],"conducted":[64],"field":[67],"graph":[69,76,80,109],"learning.":[71],"The":[72],"growing":[73],"attention":[74],"embedding":[81],"recent":[83,103],"years":[84],"raise":[85],"need":[87],"for":[88,108],"comparing":[89],"existing":[91],"methods":[92,106],"terms":[94],"methodology":[96],"techniques.":[98],"paper":[100],"summarizes":[101],"techniques":[104],"used":[107],"learning,":[111],"compare":[113],"them":[114],"together.":[115]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}