{"id":"https://openalex.org/W3044450160","doi":"https://doi.org/10.1145/3394486.3403302","title":"Grale","display_name":"Grale","publication_year":2020,"publication_date":"2020-08-20","ids":{"openalex":"https://openalex.org/W3044450160","doi":"https://doi.org/10.1145/3394486.3403302","mag":"3044450160"},"language":"en","primary_location":{"id":"doi:10.1145/3394486.3403302","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394486.3403302","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394486.3403302","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3394486.3403302","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021740847","display_name":"Jonathan Halcrow","orcid":"https://orcid.org/0009-0005-5728-394X"},"institutions":[{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jonathan Halcrow","raw_affiliation_strings":["Google Research, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Google Research, London, United Kingdom","institution_ids":["https://openalex.org/I4210113297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013168135","display_name":"Alexandru Mo\u0219oi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexandru Mosoi","raw_affiliation_strings":["YouTube, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"YouTube, Zurich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079276307","display_name":"Sam Ruth","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sam Ruth","raw_affiliation_strings":["Google Research, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Google Research, New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005058150","display_name":"Bryan Perozzi","orcid":"https://orcid.org/0009-0002-1639-2056"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bryan Perozzi","raw_affiliation_strings":["Google Research, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Google Research, New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021740847"],"corresponding_institution_ids":["https://openalex.org/I4210113297"],"apc_list":null,"apc_paid":null,"fwci":3.4284,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.93785925,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2523","last_page":"2532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.984499990940094,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6987696886062622},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6199569702148438},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46046870946884155},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4470481872558594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41011521220207214},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36280471086502075},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.241409569978714}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6987696886062622},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6199569702148438},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46046870946884155},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4470481872558594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41011521220207214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36280471086502075},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.241409569978714}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3394486.3403302","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394486.3403302","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394486.3403302","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2007.12002","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.12002","pdf_url":"https://arxiv.org/pdf/2007.12002","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3394486.3403302","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394486.3403302","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394486.3403302","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3044450160.pdf","grobid_xml":"https://content.openalex.org/works/W3044450160.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W63790640","https://openalex.org/W97949734","https://openalex.org/W108643321","https://openalex.org/W206566442","https://openalex.org/W1585385982","https://openalex.org/W1988868909","https://openalex.org/W2108501770","https://openalex.org/W2112429379","https://openalex.org/W2117355841","https://openalex.org/W2120960514","https://openalex.org/W2121252355","https://openalex.org/W2127589108","https://openalex.org/W2139823104","https://openalex.org/W2151498529","https://openalex.org/W2154455818","https://openalex.org/W2154851992","https://openalex.org/W2171590421","https://openalex.org/W2187089797","https://openalex.org/W2295507045","https://openalex.org/W2315403234","https://openalex.org/W2514325387","https://openalex.org/W2552833909","https://openalex.org/W2768375068","https://openalex.org/W2886594383","https://openalex.org/W2891319944","https://openalex.org/W2897157818","https://openalex.org/W2949416428","https://openalex.org/W2962808755","https://openalex.org/W2962917663","https://openalex.org/W2962975498","https://openalex.org/W2963208306","https://openalex.org/W2963312446","https://openalex.org/W2963373786","https://openalex.org/W2976151369","https://openalex.org/W3022208364","https://openalex.org/W3091905774","https://openalex.org/W3104097132","https://openalex.org/W3104211877","https://openalex.org/W4285719527","https://openalex.org/W4287780403","https://openalex.org/W4289704145"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"How":[0],"can":[1,53],"we":[2],"find":[3],"the":[4,14,24,44,49,56,65,72,76],"right":[5],"graph":[6,29,68,77],"for":[7,21],"semi-supervised":[8,60],"learning?":[9],"In":[10],"real":[11],"world":[12],"applications,":[13],"choice":[15,50],"of":[16,38,51,58,67,71],"which":[17],"edges":[18,45,52],"to":[19,41],"use":[20],"computation":[22],"is":[23,78],"first":[25],"step":[26],"in":[27],"any":[28],"learning":[30,61],"process.":[31],"Interestingly,":[32],"there":[33],"are":[34],"often":[35],"many":[36],"types":[37],"similarity":[39],"available":[40],"choose":[42],"as":[43],"between":[46],"nodes,":[47],"and":[48],"drastically":[54],"affect":[55],"performance":[57],"downstream":[59],"systems.":[62],"However,":[63],"despite":[64],"importance":[66],"design,":[69],"most":[70],"literature":[73],"assumes":[74],"that":[75],"static.":[79]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-07-29T00:00:00"}