{"id":"https://openalex.org/W4412875454","doi":"https://doi.org/10.1145/3711896.3736566","title":"Graph Prompting for Graph Learning Models: Recent Advances and Future Directions","display_name":"Graph Prompting for Graph Learning Models: Recent Advances and Future Directions","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412875454","doi":"https://doi.org/10.1145/3711896.3736566"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3736566","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736566","pdf_url":null,"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 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3711896.3736566","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008919658","display_name":"Xingbo Fu","orcid":"https://orcid.org/0000-0002-5419-3157"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingbo Fu","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5419-3157","affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062423029","display_name":"Zehong Wang","orcid":"https://orcid.org/0000-0002-7670-6777"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zehong Wang","raw_affiliation_strings":["University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-7670-6777","affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113382424","display_name":"Zihan Chen","orcid":"https://orcid.org/0009-0006-2899-9268"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zihan Chen","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0009-0006-2899-9268","affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiazheng Li","orcid":"https://orcid.org/0009-0000-0672-389X"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]},{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiazheng Li","raw_affiliation_strings":["University of Connecticut, Storrs, CT, USA","University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0009-0000-0672-389X","affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102911934","display_name":"Yaochen Zhu","orcid":"https://orcid.org/0000-0001-6266-2788"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaochen Zhu","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6266-2788","affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094050777","display_name":"Zhenyu Lei","orcid":"https://orcid.org/0000-0002-5606-3268"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenyu Lei","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5606-3268","affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016749653","display_name":"Cong Shen","orcid":"https://orcid.org/0000-0002-3148-4453"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Shen","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3148-4453","affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022000433","display_name":"Yanfang Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanfang Ye","raw_affiliation_strings":["University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":"https://orcid.org/0009-0003-6002-125X","affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022275632","display_name":"Chuxu Zhang","orcid":"https://orcid.org/0000-0002-8349-7926"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuxu Zhang","raw_affiliation_strings":["University of Connecticut, Storrs, CT, USA"],"raw_orcid":"https://orcid.org/0000-0002-8349-7926","affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029588473","display_name":"Jundong Li","orcid":"https://orcid.org/0000-0002-1878-817X"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]},{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jundong Li","raw_affiliation_strings":["University of Connecticut, Storrs, CT, USA","University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0000-0002-1878-817X","affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6010","last_page":"6020"},"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/T10028","display_name":"Topic Modeling","score":0.9962999820709229,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7000287771224976},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5826492309570312},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40297842025756836},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38332676887512207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7000287771224976},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5826492309570312},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40297842025756836},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38332676887512207}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3736566","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736566","pdf_url":null,"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 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3736566","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736566","pdf_url":null,"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 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6259846858","display_name":null,"funder_award_id":"IIS-2006844, IIS-2144209, IIS-2223769, CNS-2154962, BCS-2228534, and CMMI-2411248","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G7246698218","display_name":null,"funder_award_id":"N000142412636","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":93,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2154851992","https://openalex.org/W2419501139","https://openalex.org/W2962756421","https://openalex.org/W2979750740","https://openalex.org/W2997686727","https://openalex.org/W2998269939","https://openalex.org/W3004578093","https://openalex.org/W3012816161","https://openalex.org/W3012871709","https://openalex.org/W3036446966","https://openalex.org/W3045012301","https://openalex.org/W3080997787","https://openalex.org/W3081325717","https://openalex.org/W3085479328","https://openalex.org/W3086452730","https://openalex.org/W3095746859","https://openalex.org/W3099152386","https://openalex.org/W3104097132","https://openalex.org/W3117298090","https://openalex.org/W3126928293","https://openalex.org/W3130828726","https://openalex.org/W3153673236","https://openalex.org/W3154503084","https://openalex.org/W3154679372","https://openalex.org/W3168406300","https://openalex.org/W3170682786","https://openalex.org/W3171412022","https://openalex.org/W3172710079","https://openalex.org/W3173985861","https://openalex.org/W3176047499","https://openalex.org/W3190214286","https://openalex.org/W3204651332","https://openalex.org/W3208743992","https://openalex.org/W3212515727","https://openalex.org/W3214174720","https://openalex.org/W4205991051","https://openalex.org/W4221023051","https://openalex.org/W4281706128","https://openalex.org/W4281763058","https://openalex.org/W4287121295","https://openalex.org/W4290876361","https://openalex.org/W4290877635","https://openalex.org/W4300978695","https://openalex.org/W4312310776","https://openalex.org/W4312651322","https://openalex.org/W4318618444","https://openalex.org/W4321434205","https://openalex.org/W4321479940","https://openalex.org/W4323651044","https://openalex.org/W4367046683","https://openalex.org/W4367046771","https://openalex.org/W4367047461","https://openalex.org/W4379261299","https://openalex.org/W4383468961","https://openalex.org/W4383619326","https://openalex.org/W4385567478","https://openalex.org/W4385819812","https://openalex.org/W4386071547","https://openalex.org/W4387757693","https://openalex.org/W4388327547","https://openalex.org/W4389156882","https://openalex.org/W4389777839","https://openalex.org/W4390645445","https://openalex.org/W4391935658","https://openalex.org/W4392367398","https://openalex.org/W4393147025","https://openalex.org/W4393147349","https://openalex.org/W4393160201","https://openalex.org/W4396734745","https://openalex.org/W4396757504","https://openalex.org/W4396757552","https://openalex.org/W4396758711","https://openalex.org/W4399107553","https://openalex.org/W4399657602","https://openalex.org/W4400033035","https://openalex.org/W4400910398","https://openalex.org/W4401596668","https://openalex.org/W4401863349","https://openalex.org/W4401863441","https://openalex.org/W4401864009","https://openalex.org/W4403443453","https://openalex.org/W4403577755","https://openalex.org/W4403577953","https://openalex.org/W4403578206","https://openalex.org/W4403582566","https://openalex.org/W4409157988","https://openalex.org/W6600050674","https://openalex.org/W6601048975","https://openalex.org/W6603957568","https://openalex.org/W6610450269","https://openalex.org/W6845431016","https://openalex.org/W6873583445"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Graph":[0],"learning":[1,8,30,39,77],"models":[2,40,78],"have":[3],"demonstrated":[4],"great":[5],"prowess":[6],"in":[7,15,45,91,115,147,154],"expressive":[9],"representations":[10],"from":[11,138],"large-scale":[12],"graph":[13,29,38,43,61,76,92,98,108,116,127,136],"data":[14,44],"a":[16,23,46,65,85],"wide":[17],"variety":[18],"of":[19,88,107,135],"real-world":[20,133],"scenarios.":[21],"As":[22],"prevalent":[24],"strategy":[25],"for":[26,126],"training":[27],"powerful":[28],"models,":[31],"the":[32,58,74,104,132],"''pre-training,":[33],"adaptation''":[34],"scheme":[35],"first":[36],"pre-trains":[37],"on":[41,120],"unlabeled":[42],"self-supervised":[47],"manner":[48],"and":[49,118],"then":[50],"adapts":[51],"them":[52],"to":[53],"specific":[54],"downstream":[55],"tasks.":[56],"During":[57],"adaptation":[59],"phase,":[60],"prompting":[62,117,137],"emerges":[63],"as":[64,103],"promising":[66,151],"approach":[67],"that":[68,101],"learns":[69],"trainable":[70],"prompts":[71,125],"while":[72],"keeping":[73],"pre-trained":[75],"unchanged.":[79],"In":[80],"this":[81,155],"paper,":[82],"we":[83,95,111,130,142],"present":[84],"systematic":[86],"review":[87,112],"recent":[89],"advancements":[90],"prompting.":[93,109,128],"First,":[94],"introduce":[96],"representative":[97],"pre-training":[99],"methods":[100],"serve":[102],"foundation":[105],"step":[106],"Next,":[110],"mainstream":[113],"techniques":[114],"elaborate":[119],"how":[121],"they":[122],"design":[123],"learnable":[124],"Furthermore,":[129],"summarize":[131],"applications":[134],"different":[139],"domains.":[140],"Finally,":[141],"discuss":[143],"several":[144],"open":[145],"challenges":[146],"existing":[148],"studies":[149],"with":[150],"future":[152],"directions":[153],"field.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
