{"id":"https://openalex.org/W4212852078","doi":"https://doi.org/10.1145/3488560.3501390","title":"Graph Minimally-supervised Learning","display_name":"Graph Minimally-supervised Learning","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4212852078","doi":"https://doi.org/10.1145/3488560.3501390"},"language":"en","primary_location":{"id":"doi:10.1145/3488560.3501390","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3501390","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search 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/A5044455276","display_name":"Kaize Ding","orcid":"https://orcid.org/0000-0001-6684-6752"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kaize Ding","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029588473","display_name":"Jundong Li","orcid":"https://orcid.org/0000-0002-1878-817X"},"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":"Jundong Li","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068157871","display_name":"Nitesh V. Chawla","orcid":"https://orcid.org/0000-0003-3932-5956"},"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":"Nitesh Chawla","raw_affiliation_strings":["University of Notre Dame, Notre Dame, IN, USA"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338946","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0002-3264-7904"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044455276"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.3118,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46924154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1620","last_page":"1622"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9889000058174133,"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":0.9675999879837036,"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":0.7648216485977173},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6238178610801697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6056578159332275},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5808780193328857},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.572892427444458},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4928036034107208},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49070823192596436},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3849782943725586},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2988453507423401}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7648216485977173},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6238178610801697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6056578159332275},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5808780193328857},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.572892427444458},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4928036034107208},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49070823192596436},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3849782943725586},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2988453507423401}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488560.3501390","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3501390","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4399999976158142,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G2932374280","display_name":null,"funder_award_id":"N00014-21-1-4002","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7998478345","display_name":null,"funder_award_id":"W911NF2110030","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2022322548","https://openalex.org/W2759136286","https://openalex.org/W2803831897","https://openalex.org/W2808409763","https://openalex.org/W2906836970","https://openalex.org/W2944250323","https://openalex.org/W2964051675","https://openalex.org/W2984323660","https://openalex.org/W2991221721","https://openalex.org/W2997198750","https://openalex.org/W2997262687","https://openalex.org/W2997738974","https://openalex.org/W3034213836","https://openalex.org/W3036446966","https://openalex.org/W3080997787","https://openalex.org/W3086452730","https://openalex.org/W3093957844","https://openalex.org/W3094624443","https://openalex.org/W3098276446","https://openalex.org/W3099152386","https://openalex.org/W3099378125","https://openalex.org/W3106229813","https://openalex.org/W3130274530","https://openalex.org/W3152507776","https://openalex.org/W3165369424","https://openalex.org/W3173421061","https://openalex.org/W3210137232","https://openalex.org/W4225657277"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W2513638114","https://openalex.org/W4390062853","https://openalex.org/W2340127552","https://openalex.org/W4389256085","https://openalex.org/W3210156800","https://openalex.org/W3033485676","https://openalex.org/W3166049060","https://openalex.org/W4311865232","https://openalex.org/W2904380457"],"abstract_inverted_index":{"Graphs":[0],"are":[1,84,168],"widely":[2],"used":[3],"for":[4,23,75,114],"abstracting":[5],"complex":[6],"systems":[7],"of":[8,72,137,145,165,195,224],"interacting":[9],"objects,":[10],"such":[11,32],"as":[12,20,22,90,157,159],"social":[13],"networks,":[14,19,45],"knowledge":[15],"graphs,":[16],"and":[17,27,53,93,100,150,179,192,199,204,216,235],"traffic":[18],"well":[21,158],"modeling":[24],"molecules,":[25],"manifolds,":[26],"source":[28],"code.":[29],"To":[30],"model":[31,76],"graph-structured":[33,155],"data,":[34,67],"graph":[35,40,43,58,108,176,196,225,242],"learning,":[36,147,149],"in":[37,50,141,175],"particular":[38,142],"deep":[39],"learning":[41,59,64,109,152,178,185,215],"with":[42,86,110],"neural":[44],"has":[46],"drawn":[47],"much":[48],"attention":[49],"both":[51],"academic":[52],"industrial":[54],"communities":[55],"lately.":[56],"Prevailing":[57],"methods":[60,153],"usually":[61],"rely":[62],"on":[63,95,133,154,241],"from":[65],"\"big''":[66],"requiring":[68],"a":[69,143,218,221],"large":[70],"amount":[71],"labeled":[73,88,123],"data":[74,89,91,124,156],"training.":[77],"However,":[78],"it":[79,103],"is":[80,97,104,125,231],"common":[81],"that":[82],"graphs":[83,96],"associated":[85],"\"small''":[87],"annotation":[92],"labeling":[94],"always":[98],"time":[99],"resource-consuming.":[101],"Therefore,":[102],"imperative":[105],"to":[106,220,233,239],"investigate":[107],"minimal":[111],"human":[112],"supervision":[113],"the":[115,134,173,181,190],"low-resource":[116],"settings":[117],"where":[118],"limited":[119],"or":[120],"even":[121],"no":[122],"available.":[126],"In":[127],"this":[128,166,229],"tutorial,":[129],"we":[130],"will":[131],"focus":[132],"state-of-the-art":[135],"techniques":[136],"Graph":[138],"Minimally-supervised":[139],"Learning,":[140],"series":[144],"weakly-supervised":[146],"few-shot":[148],"self-supervised":[151],"their":[160],"real-world":[161],"applications.":[162],"The":[163],"objectives":[164],"tutorial":[167,209,230],"to:":[169],"(1)":[170],"formally":[171],"categorize":[172],"problems":[174],"minimally-supervised":[177,197,214],"discuss":[180],"challenges":[182],"under":[183],"different":[184],"scenarios;":[186],"(2)":[187],"comprehensively":[188],"review":[189],"existing":[191],"recent":[193],"advances":[194],"learning;":[198],"(3)":[200],"elucidate":[201],"open":[202],"questions":[203],"future":[205],"research":[206],"directions.":[207],"This":[208],"introduces":[210],"major":[211],"topics":[212],"within":[213],"offers":[217],"guide":[219],"new":[222],"frontier":[223],"learning.":[226,243],"We":[227],"believe":[228],"beneficial":[232],"researchers":[234],"practitioners,":[236],"allowing":[237],"them":[238],"collaborate":[240]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}