{"id":"https://openalex.org/W4402530312","doi":"https://doi.org/10.1145/3695863","title":"State of the Art and Potentialities of Graph-level Learning","display_name":"State of the Art and Potentialities of Graph-level Learning","publication_year":2024,"publication_date":"2024-09-13","ids":{"openalex":"https://openalex.org/W4402530312","doi":"https://doi.org/10.1145/3695863"},"language":"en","primary_location":{"id":"doi:10.1145/3695863","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3695863","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"type":"review","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11573/1728752","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100433327","display_name":"Zhenyu Yang","orcid":"https://orcid.org/0000-0002-6588-3014"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zhenyu Yang","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6588-3014","affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066698067","display_name":"Ge Zhang","orcid":"https://orcid.org/0000-0001-6009-780X"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]},{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Ge Zhang","raw_affiliation_strings":["School of Computing, Donghua University, Shanghai, China and School of Computing, Macquarie University, Sydney, Australia","School of Computing, Macquarie University, Sydney, Australia","School of Computing, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6009-780X","affiliations":[{"raw_affiliation_string":"School of Computing, Donghua University, Shanghai, China and School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"School of Computing, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007475662","display_name":"Jia Wu","orcid":"https://orcid.org/0000-0002-1371-5801"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jia Wu","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1371-5801","affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009644404","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0002-4408-1952"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4408-1952","affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080744092","display_name":"Quan Z. Sheng","orcid":"https://orcid.org/0000-0002-3326-4147"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Quan Z. Sheng","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, Australia","School of Computing, Macquarie University, Sydney Australia"],"raw_orcid":"https://orcid.org/0000-0002-3326-4147","affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101912402","display_name":"Shan Xue","orcid":"https://orcid.org/0000-0002-9123-5133"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shan Xue","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9123-5133","affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085319576","display_name":"Chuan Zhou","orcid":"https://orcid.org/0000-0001-9958-8673"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Zhou","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China","Chinese Academy of Sciences,  Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9958-8673","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chinese Academy of Sciences,  Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028089542","display_name":"Char\u0173 C. Aggarwal","orcid":"https://orcid.org/0000-0003-2579-7581"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charu Aggarwal","raw_affiliation_strings":["Office 4S-A20, IBM T. J. Watson Research Center, Hawthorne, United States"],"raw_orcid":"https://orcid.org/0000-0003-2579-7581","affiliations":[{"raw_affiliation_string":"Office 4S-A20, IBM T. J. Watson Research Center, Hawthorne, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740622","display_name":"Hao Peng","orcid":"https://orcid.org/0000-0003-0458-5977"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Peng","raw_affiliation_strings":["Beihang University, Beijing, China","Beihang University,  Beijing China"],"raw_orcid":"https://orcid.org/0000-0003-0458-5977","affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University,  Beijing China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101547511","display_name":"Wenbin Hu","orcid":"https://orcid.org/0000-0002-9258-3850"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Hu","raw_affiliation_strings":["Wuhan University, Wuhan, China","Wuhan University,  Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9258-3850","affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Wuhan University,  Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074364400","display_name":"Edwin R. Hancock","orcid":"https://orcid.org/0000-0003-4496-2028"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Edwin Hancock","raw_affiliation_strings":["University of York, York, United Kingdom of Great Britain and Northern Ireland","University of York,  York United Kingdom of Great Britain and Northern Ireland"],"raw_orcid":"https://orcid.org/0000-0003-4496-2028","affiliations":[{"raw_affiliation_string":"University of York, York, United Kingdom of Great Britain and Northern Ireland","institution_ids":["https://openalex.org/I52099693"]},{"raw_affiliation_string":"University of York,  York United Kingdom of Great Britain and Northern Ireland","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056748708","display_name":"P\u00edetro Li\u00f3","orcid":"https://orcid.org/0000-0002-0540-5053"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pietro Li\u00f2","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom of Great Britain and Northern Ireland","University of Cambridge,  Cambridge United Kingdom of Great Britain and Northern Ireland"],"raw_orcid":"https://orcid.org/0000-0002-0540-5053","affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom of Great Britain and Northern Ireland","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"University of Cambridge,  Cambridge United Kingdom of Great Britain and Northern Ireland","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5100433327"],"corresponding_institution_ids":["https://openalex.org/I99043593"],"apc_list":null,"apc_paid":null,"fwci":8.9185,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.98199483,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"57","issue":"2","first_page":"1","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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":0.9995999932289124,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7808088064193726},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.688653290271759},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6540449857711792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5979564189910889},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5037114024162292},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48745298385620117},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4837941825389862},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.4327021539211273},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.4276065528392792},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2053242027759552},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.1807275414466858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7808088064193726},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.688653290271759},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6540449857711792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5979564189910889},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5037114024162292},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48745298385620117},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4837941825389862},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.4327021539211273},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.4276065528392792},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2053242027759552},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.1807275414466858}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3695863","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3695863","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1728752","is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1728752","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:iris.uniroma1.it:11573/1728752","is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1728752","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2783678812","display_name":null,"funder_award_id":"LP210301259, and DP230100899","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":140,"referenced_works":["https://openalex.org/W637153065","https://openalex.org/W1179283095","https://openalex.org/W1496340763","https://openalex.org/W1524882660","https://openalex.org/W1641749581","https://openalex.org/W1739285698","https://openalex.org/W1816257748","https://openalex.org/W1964513093","https://openalex.org/W1971039378","https://openalex.org/W1990600049","https://openalex.org/W2007572995","https://openalex.org/W2008505552","https://openalex.org/W2008857988","https://openalex.org/W2013698884","https://openalex.org/W2016210016","https://openalex.org/W2016440973","https://openalex.org/W2027482274","https://openalex.org/W2034618876","https://openalex.org/W2044834685","https://openalex.org/W2076498053","https://openalex.org/W2081301924","https://openalex.org/W2089514923","https://openalex.org/W2092750499","https://openalex.org/W2099438806","https://openalex.org/W2100364402","https://openalex.org/W2108718322","https://openalex.org/W2112837588","https://openalex.org/W2113014179","https://openalex.org/W2115412287","https://openalex.org/W2116341502","https://openalex.org/W2132914434","https://openalex.org/W2135957668","https://openalex.org/W2136507529","https://openalex.org/W2139906443","https://openalex.org/W2142799844","https://openalex.org/W2147286743","https://openalex.org/W2158787690","https://openalex.org/W2160815625","https://openalex.org/W2164281374","https://openalex.org/W2169528473","https://openalex.org/W2169866700","https://openalex.org/W2181072414","https://openalex.org/W2254134911","https://openalex.org/W2258064579","https://openalex.org/W2323770312","https://openalex.org/W2338678442","https://openalex.org/W2343790552","https://openalex.org/W2406943157","https://openalex.org/W2461470610","https://openalex.org/W2461620095","https://openalex.org/W2468480579","https://openalex.org/W2473190403","https://openalex.org/W2527189750","https://openalex.org/W2558460151","https://openalex.org/W2558748708","https://openalex.org/W2565684601","https://openalex.org/W2594183968","https://openalex.org/W2606202972","https://openalex.org/W2737925311","https://openalex.org/W2748718876","https://openalex.org/W2756654724","https://openalex.org/W2758068744","https://openalex.org/W2771949901","https://openalex.org/W2781712876","https://openalex.org/W2787894218","https://openalex.org/W2788178129","https://openalex.org/W2788919350","https://openalex.org/W2809343047","https://openalex.org/W2907492528","https://openalex.org/W2912636151","https://openalex.org/W2921734165","https://openalex.org/W2925177113","https://openalex.org/W2937307539","https://openalex.org/W2950411297","https://openalex.org/W2962810718","https://openalex.org/W2963066159","https://openalex.org/W2963847532","https://openalex.org/W2964189376","https://openalex.org/W2965757697","https://openalex.org/W2966121357","https://openalex.org/W2966797369","https://openalex.org/W2970282997","https://openalex.org/W2973529529","https://openalex.org/W2980953914","https://openalex.org/W2981898874","https://openalex.org/W2997997679","https://openalex.org/W3003393086","https://openalex.org/W3007309629","https://openalex.org/W3007332492","https://openalex.org/W3009924839","https://openalex.org/W3011667710","https://openalex.org/W3013868095","https://openalex.org/W3030145375","https://openalex.org/W3033892090","https://openalex.org/W3034090344","https://openalex.org/W3035568641","https://openalex.org/W3035664258","https://openalex.org/W3042313988","https://openalex.org/W3080290478","https://openalex.org/W3091502386","https://openalex.org/W3093492988","https://openalex.org/W3093999435","https://openalex.org/W3103523530","https://openalex.org/W3114932221","https://openalex.org/W3116202926","https://openalex.org/W3116637551","https://openalex.org/W3128443161","https://openalex.org/W3139081114","https://openalex.org/W3157286395","https://openalex.org/W3187220393","https://openalex.org/W3199461261","https://openalex.org/W3206568895","https://openalex.org/W3214872094","https://openalex.org/W4206912631","https://openalex.org/W4213077304","https://openalex.org/W4213214460","https://openalex.org/W4214868967","https://openalex.org/W4225163171","https://openalex.org/W4249444195","https://openalex.org/W4285604301","https://openalex.org/W4286379781","https://openalex.org/W4287756632","https://openalex.org/W4318811779","https://openalex.org/W4321480062","https://openalex.org/W4385565364","https://openalex.org/W4385764404","https://openalex.org/W4386265859","https://openalex.org/W4387682030","https://openalex.org/W4390143397","https://openalex.org/W4391939508","https://openalex.org/W4392729268","https://openalex.org/W4400237724","https://openalex.org/W4401864185","https://openalex.org/W6681029592","https://openalex.org/W6685146747","https://openalex.org/W6756192570","https://openalex.org/W6762735450","https://openalex.org/W6769378854","https://openalex.org/W6839216370","https://openalex.org/W7062030810"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4368755543","https://openalex.org/W4377142566","https://openalex.org/W3088104186","https://openalex.org/W1543023114","https://openalex.org/W4245709619","https://openalex.org/W85088162"],"abstract_inverted_index":{"Graphs":[0],"have":[1,109],"a":[2,22,44,102,145,188],"superior":[3],"ability":[4],"to":[5,31,42,85,129,179],"represent":[6],"relational":[7],"data,":[8],"such":[9,53],"as":[10,26,54,69],"chemical":[11],"compounds,":[12],"proteins,":[13],"and":[14,38,95,126,139,159,166,197,212],"social":[15],"networks.":[16],"Hence,":[17],"graph-level":[18,82,120,151,155],"learning,":[19,150],"which":[20],"takes":[21],"set":[23,45],"of":[24,46,89,191,209],"graphs":[25,47,90,97],"input,":[27],"has":[28,80],"been":[29,110],"applied":[30],"many":[32,113],"tasks,":[33],"including":[34],"comparison,":[35],"regression,":[36],"classification,":[37],"more.":[39],"Traditional":[40],"approaches":[41],"learning":[43,79,83,107,121,125,132],"heavily":[48],"rely":[49],"on":[50],"hand-crafted":[51],"features,":[52],"substructures.":[55],"While":[56],"these":[57,104,171],"methods":[58,108,169],"benefit":[59],"from":[60,66,170],"good":[61],"interpretability,":[62],"they":[63,70],"often":[64],"suffer":[65],"computational":[67],"bottlenecks,":[68],"cannot":[71],"skirt":[72],"the":[73,86,130,141,164,192,202],"graph":[74,106,156,160],"isomorphism":[75],"problem.":[76],"Conversely,":[77],"deep":[78,105,131,152],"helped":[81],"adapt":[84],"growing":[87],"scale":[88],"by":[91,187],"extracting":[92],"features":[93],"automatically":[94],"encoding":[96],"into":[98,144],"low-dimensional":[99],"representations.":[100],"As":[101],"result,":[103],"responsible":[111],"for":[112],"successes.":[114],"Yet,":[115],"no":[116],"comprehensive":[117],"survey":[118,203],"reviews":[119],"starting":[122],"with":[123,205],"traditional":[124,149],"moving":[127],"through":[128],"approaches.":[133],"This":[134,184],"article":[135],"fills":[136],"this":[137,216],"gap":[138],"frames":[140],"representative":[142],"algorithms":[143],"systematic":[146],"taxonomy":[147],"covering":[148],"neural":[153,157],"networks,":[154,158],"pooling.":[161],"In":[162],"addition,":[163],"evolution":[165],"interaction":[167],"between":[168],"four":[172],"branches":[173],"within":[174],"their":[175],"developments":[176],"are":[177],"examined":[178],"provide":[180],"an":[181,206],"in-depth":[182,207],"analysis.":[183],"is":[185],"followed":[186],"brief":[189],"review":[190],"benchmark":[193],"datasets,":[194],"evaluation":[195],"metrics,":[196],"common":[198],"downstream":[199],"applications.":[200],"Finally,":[201],"concludes":[204],"discussion":[208],"12":[210],"current":[211],"future":[213],"directions":[214],"in":[215],"booming":[217],"field.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-17T08:19:37.847499","created_date":"2024-09-14T00:00:00"}
