{"id":"https://openalex.org/W4412877208","doi":"https://doi.org/10.1145/3711896.3737410","title":"Benchmarking Graph Foundation Models","display_name":"Benchmarking Graph Foundation Models","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412877208","doi":"https://doi.org/10.1145/3711896.3737410"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737410","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737410","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737410","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737410","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090368713","display_name":"Jinyu Yang","orcid":"https://orcid.org/0009-0007-5467-0690"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinyu Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-5467-0690","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001633360","display_name":"Liangwei Yang","orcid":"https://orcid.org/0000-0001-5660-766X"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liangwei Yang","raw_affiliation_strings":["University of Illinois Chicago, Chicago, USA"],"raw_orcid":"https://orcid.org/0000-0001-5660-766X","affiliations":[{"raw_affiliation_string":"University of Illinois Chicago, Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113292447","display_name":"Zeyuan Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyuan Guo","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-4803-6659","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiayi Gao","orcid":"https://orcid.org/0009-0008-2735-4729"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Gao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-2735-4729","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101995605","display_name":"Jing Wu","orcid":"https://orcid.org/0009-0000-3401-7669"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-3401-7669","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119175174","display_name":"Tianhao Chai","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianhao Chai","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-3533-6411","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057279924","display_name":"Hai Huang","orcid":"https://orcid.org/0009-0003-7176-1018"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Huang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-7176-1018","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060417049","display_name":"Cheng Yang","orcid":"https://orcid.org/0000-0001-7821-0030"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7821-0030","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705849","display_name":"Chuan Shi","orcid":"https://orcid.org/0000-0002-3734-0266"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Shi","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3734-0266","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5090368713"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":4.1903,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94164016,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5866","last_page":"5875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9944000244140625,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.987500011920929,"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/benchmarking","display_name":"Benchmarking","score":0.849768340587616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.642488956451416},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.5084978342056274},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4531072974205017},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19825252890586853},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06919777393341064},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.06713417172431946}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.849768340587616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.642488956451416},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.5084978342056274},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4531072974205017},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19825252890586853},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06919777393341064},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.06713417172431946},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737410","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737410","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737410","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737410","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737410","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737410","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1108969597","display_name":null,"funder_award_id":"62192784","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1520374204","display_name":null,"funder_award_id":"U22B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2698811623","display_name":null,"funder_award_id":"62472329","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412877208.pdf","grobid_xml":"https://content.openalex.org/works/W4412877208.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2022322548","https://openalex.org/W2101409192","https://openalex.org/W2743104969","https://openalex.org/W2747329762","https://openalex.org/W2911286998","https://openalex.org/W2913350752","https://openalex.org/W2951626319","https://openalex.org/W2952205826","https://openalex.org/W2990138404","https://openalex.org/W3002924435","https://openalex.org/W3004507689","https://openalex.org/W3036446966","https://openalex.org/W3080997787","https://openalex.org/W3099152386","https://openalex.org/W3103513278","https://openalex.org/W3114303065","https://openalex.org/W3166423611","https://openalex.org/W4220835122","https://openalex.org/W4306317244","https://openalex.org/W4309795480","https://openalex.org/W4321452549","https://openalex.org/W4321479942","https://openalex.org/W4365393358","https://openalex.org/W4378976562","https://openalex.org/W4384890885","https://openalex.org/W4387848921","https://openalex.org/W4396722529","https://openalex.org/W4396758759","https://openalex.org/W4400524696","https://openalex.org/W4401857173","https://openalex.org/W4409365399","https://openalex.org/W6600669965"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699"],"abstract_inverted_index":{"In":[0],"real-world":[1,77],"applications,":[2],"graph":[3,78,163],"data":[4,94],"has":[5],"garnered":[6],"significant":[7],"attention":[8],"for":[9,90,107,152],"its":[10],"representation":[11],"and":[12,35,53,71,84,98,117,120,143,165,172],"analysis":[13,52],"using":[14],"Graph":[15,26],"Neural":[16],"Networks.":[17],"Recent":[18],"advancements":[19],"have":[20],"led":[21],"to":[22,32],"the":[23,68,125,133],"development":[24],"of":[25,46,73,127],"Foundation":[27],"Models":[28],"(GFMs),":[29],"which":[30],"aim":[31],"enhance":[33],"cross-domain":[34,54,115],"cross-task":[36],"generalization":[37,110,159],"ability.":[38],"Despite":[39],"promising":[40],"results":[41],"from":[42],"GFMs,":[43,128,153],"a":[44,87,103,149],"lack":[45],"standardized":[47],"evaluation":[48,105],"processes":[49],"hinders":[50],"comparative":[51],"applicability.":[55],"To":[56,123],"address":[57],"this":[58],"gap,":[59],"we":[60,129],"propose":[61],"GFMBench,":[62],"an":[63],"open-source":[64,169],"pipeline":[65,101],"that":[66],"standardizes":[67],"training,":[69,97],"evaluation,":[70],"deployment":[72],"GFMs":[74,83],"across":[75,93,161],"diverse":[76],"applications.":[79],"GFMBench":[80,170],"integrates":[81],"state-of-the-art":[82],"datasets,":[85],"providing":[86],"modular":[88],"design":[89],"comprehensive":[91],"support":[92],"preprocessing,":[95],"model":[96],"evaluation.":[99],"The":[100],"includes":[102],"robust":[104],"framework":[106],"benchmarking":[108],"GFM":[109],"ability,":[111],"encompassing":[112],"supervised":[113],"learning,":[114,119],"zero-shot":[116],"few-shot":[118],"in-context":[121],"learning.":[122],"validate":[124],"usability":[126],"deploy":[130],"them":[131],"on":[132],"Open":[134],"Academic":[135],"Graph,":[136],"enabling":[137,154],"applications":[138],"such":[139],"as":[140],"topic":[141],"search":[142],"author":[144],"recommendation.":[145],"This":[146],"work":[147],"provides":[148],"unified":[150],"benchmark":[151],"deeper":[155],"insights":[156],"into":[157],"their":[158],"ability":[160],"various":[162],"tasks":[164],"domains.":[166],"We":[167],"further":[168],"https://github.com/BUPT-GAMMA/ggfm":[171],"related":[173],"documents":[174],"https://ggfm.readthedocs.io/en/latest/.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}