{"id":"https://openalex.org/W4385567956","doi":"https://doi.org/10.1145/3580305.3599565","title":"Large-Scale Graph Neural Networks: The Past and New Frontiers","display_name":"Large-Scale Graph Neural Networks: The Past and New Frontiers","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385567956","doi":"https://doi.org/10.1145/3580305.3599565"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599565","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5101518901","display_name":"Rui Xue","orcid":"https://orcid.org/0009-0003-4975-1585"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rui Xue","raw_affiliation_strings":["North Carolina State University, Raleigh, NC, USA"],"affiliations":[{"raw_affiliation_string":"North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101837991","display_name":"Haoyu Han","orcid":"https://orcid.org/0000-0002-2529-6042"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haoyu Han","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035766567","display_name":"Tong Zhao","orcid":"https://orcid.org/0000-0001-7660-1732"},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Zhao","raw_affiliation_strings":["Snap Inc., Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Snap Inc., Seattle, WA, USA","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101799872","display_name":"Neil Shah","orcid":"https://orcid.org/0000-0003-3261-8430"},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Shah","raw_affiliation_strings":["Snap Inc., Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Snap Inc., Seattle, WA, USA","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040639891","display_name":"Jiliang Tang","orcid":"https://orcid.org/0000-0001-7125-3898"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiliang Tang","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100621795","display_name":"Xiaorui Liu","orcid":"https://orcid.org/0000-0001-8217-5688"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaorui Liu","raw_affiliation_strings":["North Carolina State University, Raleigh, NC, USA"],"affiliations":[{"raw_affiliation_string":"North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101518901"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":0.6983,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75240037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5835","last_page":"5836"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9945999979972839,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9879999756813049,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7777292728424072},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7490580081939697},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6159788966178894},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4799366593360901},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4331701695919037},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.432363897562027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3827349543571472},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29042553901672363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7777292728424072},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7490580081939697},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6159788966178894},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4799366593360901},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4331701695919037},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.432363897562027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3827349543571472},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29042553901672363},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599565","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310013","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06"},{"id":"https://openalex.org/F4320310016","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993"},{"id":"https://openalex.org/F4320310207","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"},{"id":"https://openalex.org/F4320310260","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43"},{"id":"https://openalex.org/F4320332431","display_name":"College of Engineering, Michigan State University","ror":"https://ror.org/05hs6h993"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2624431344","https://openalex.org/W2945827377","https://openalex.org/W2962946486","https://openalex.org/W3034795332","https://openalex.org/W3097300053","https://openalex.org/W3101553402","https://openalex.org/W3129197243","https://openalex.org/W3206504463","https://openalex.org/W4212774754","https://openalex.org/W4294877868","https://openalex.org/W4302010417","https://openalex.org/W4319323383","https://openalex.org/W6760001035","https://openalex.org/W6839119743"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":{"Graph":[0],"Neural":[1],"Networks":[2],"(GNNs)":[3],"have":[4],"gained":[5],"significant":[6],"attention":[7],"in":[8,21,68,145],"recent":[9],"years":[10],"due":[11,34],"to":[12,15,35,57,111,139],"their":[13,66,103],"ability":[14],"model":[16],"complex":[17],"relationships":[18],"between":[19],"entities":[20],"graph-structured":[22],"data":[23],"such":[24],"as":[25],"social":[26],"networks,":[27],"protein":[28],"structures,":[29],"and":[30,42,55,90,97,102,115,121,129,137,143],"knowledge":[31],"graphs.":[32],"However,":[33],"the":[36,43,77,95,119],"size":[37],"of":[38,46,81,84,99,118,152],"real-world":[39,69,105],"industrial":[40],"graphs":[41],"special":[44],"architecture":[45],"GNNs,":[47,82,101],"it":[48],"is":[49,155],"a":[50,113],"long-lasting":[51],"challenge":[52],"for":[53,124],"engineers":[54,136],"researchers":[56,138],"deploy":[58],"GNNs":[59,86],"on":[60,131],"large-scale":[61,85,104],"graphs,":[62],"which":[63],"significantly":[64],"limits":[65],"applications":[67],"applications.":[70,106],"In":[71],"this":[72,108,146,153],"tutorial,":[73],"we":[74],"will":[75,134],"cover":[76],"fundamental":[78],"scalability":[79],"challenges":[80,120],"frontiers":[83],"including":[87],"classic":[88],"approaches":[89],"some":[91],"newly":[92],"emerging":[93],"techniques,":[94],"evaluation":[96],"comparison":[98],"scalable":[100],"Overall,":[107],"tutorial":[109,154],"aims":[110],"provide":[112],"systematic":[114],"comprehensive":[116],"understanding":[117],"state-of-the-art":[122],"techniques":[123],"scaling":[125],"GNNs.":[126],"The":[127,150],"summary":[128],"discussion":[130],"future":[132],"directions":[133],"inspire":[135],"explore":[140],"new":[141],"ideas":[142],"developments":[144],"rapidly":[147],"evolving":[148],"field.":[149],"website":[151],"available":[156],"at":[157],"https://sites.google.com/ncsu.edu/gnnkdd2023tutorial.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
