{"id":"https://openalex.org/W4367047312","doi":"https://doi.org/10.1145/3543507.3583498","title":"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs","display_name":"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367047312","doi":"https://doi.org/10.1145/3543507.3583498"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583498","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","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/A5003412012","display_name":"Xin Zheng","orcid":"https://orcid.org/0000-0003-0915-7787"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Xin Zheng","raw_affiliation_strings":["Monash University, Australia"],"affiliations":[{"raw_affiliation_string":"Monash University, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101137578","display_name":"Miao Zhang","orcid":"https://orcid.org/0000-0002-1262-4174"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Zhang","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen), China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen), China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075639297","display_name":"Chunyang Chen","orcid":"https://orcid.org/0000-0003-2011-9618"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chunyang Chen","raw_affiliation_strings":["Monash University, Australia"],"affiliations":[{"raw_affiliation_string":"Monash University, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017653751","display_name":"Qin Zhang","orcid":"https://orcid.org/0000-0002-3703-7777"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Zhang","raw_affiliation_strings":["Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085319576","display_name":"Chuan Zhou","orcid":"https://orcid.org/0000-0001-9958-8673"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Zhou","raw_affiliation_strings":["Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008056593","display_name":"Shirui Pan","orcid":"https://orcid.org/0000-0003-0794-527X"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shirui Pan","raw_affiliation_strings":["Griffith University, Australia"],"affiliations":[{"raw_affiliation_string":"Griffith University, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5003412012"],"corresponding_institution_ids":["https://openalex.org/I56590836"],"apc_list":null,"apc_paid":null,"fwci":4.6664,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.95840554,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"611","last_page":"620"},"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/T10028","display_name":"Topic Modeling","score":0.972599983215332,"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":0.9408000111579895,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7800395488739014},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5283299684524536},{"id":"https://openalex.org/keywords/homophily","display_name":"Homophily","score":0.5115872025489807},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.49081048369407654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43590760231018066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4150891602039337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7800395488739014},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5283299684524536},{"id":"https://openalex.org/C2779812341","wikidata":"https://www.wikidata.org/wiki/Q5891525","display_name":"Homophily","level":2,"score":0.5115872025489807},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.49081048369407654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43590760231018066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4150891602039337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3543507.3583498","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/424626","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/424626","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G6275353366","display_name":null,"funder_award_id":"2022A1515010129","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2107559689","https://openalex.org/W2148123869","https://openalex.org/W2807021761","https://openalex.org/W2960010704","https://openalex.org/W2962837431","https://openalex.org/W2981748264","https://openalex.org/W2990045899","https://openalex.org/W3031047561","https://openalex.org/W3034723893","https://openalex.org/W3034764953","https://openalex.org/W3080253043","https://openalex.org/W3090999459","https://openalex.org/W3098230582","https://openalex.org/W3100848837","https://openalex.org/W3108099775","https://openalex.org/W3128443161","https://openalex.org/W3156351347","https://openalex.org/W3166257724","https://openalex.org/W3167197358","https://openalex.org/W3172402898","https://openalex.org/W3174470190","https://openalex.org/W4200632081","https://openalex.org/W4210334699","https://openalex.org/W4210746245","https://openalex.org/W4226437046","https://openalex.org/W4382239867","https://openalex.org/W6785059380"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Graph":[0],"neural":[1,13,99],"architecture":[2,135,204],"search":[3,85,129,155,178],"(NAS)":[4],"has":[5],"gained":[6],"popularity":[7],"in":[8,42,81,90,187,206,228],"automatically":[9,107],"designing":[10],"powerful":[11],"graph":[12,22,35,50,77,98,126,237],"networks":[14],"(GNNs)":[15],"with":[16,52,112,142],"relieving":[17],"human":[18],"efforts.":[19],"However,":[20],"existing":[21],"NAS":[23,53,78,238],"methods":[24],"mainly":[25,79],"work":[26],"under":[27],"the":[28,65,72,83,138,176,199,207,224],"homophily":[29],"assumption":[30],"and":[31,67,87,134,145,162,190,213,236],"overlook":[32],"another":[33],"important":[34],"property,":[36],"i.e.,":[37],"heterophily,":[38,185],"which":[39],"exists":[40],"widely":[41],"various":[43,163],"real-world":[44],"applications.":[45],"To":[46],"date,":[47],"automated":[48,97],"heterophilic":[49,70,76,102,109,125,153,203,215,231],"learning":[51,114],"is":[54],"still":[55],"a":[56,95,151,168,188,194],"research":[57],"blank":[58],"to":[59,64,106,159,181,233],"be":[60,219],"filled":[61],"in.":[62],"Due":[63],"complexity":[66],"variety":[68],"of":[69,75,123,165,184,226],"graphs,":[71,103],"critical":[73],"challenge":[74],"lies":[80],"developing":[82,229],"heterophily-specific":[84],"space":[86,130,179],"strategy.":[88],"Therefore,":[89],"this":[91],"paper,":[92],"we":[93,148,173,201],"propose":[94],"novel":[96],"network":[100],"on":[101],"namely":[104],"Auto-HeG,":[105],"build":[108,150],"GNN":[110,154,216],"models":[111,235],"expressive":[113,214],"abilities.":[115],"Specifically,":[116],"Auto-HeG":[117,158,227],"incorporates":[118],"heterophily":[119,164],"into":[120],"all":[121],"stages":[122],"automatic":[124],"learning,":[127],"including":[128],"design,":[131],"supernet":[132,170],"training,":[133],"selection.":[136],"Through":[137],"diverse":[139],"message-passing":[140],"scheme":[141],"joint":[143],"micro-level":[144],"macro-level":[146],"designs,":[147],"first":[149],"comprehensive":[152],"space,":[156],"enabling":[157],"integrate":[160],"complex":[161],"graphs.":[166],"With":[167],"progressive":[169],"training":[171],"strategy,":[172],"dynamically":[174],"shrink":[175],"initial":[177],"according":[180],"layer-wise":[182],"variation":[183],"resulting":[186],"compact":[189],"efficient":[191],"supernet.":[192],"Taking":[193],"heterophily-aware":[195],"distance":[196],"criterion":[197],"as":[198],"guidance,":[200],"conduct":[202],"selection":[205],"leave-one-out":[208],"pattern,":[209],"so":[210],"that":[211],"specialized":[212],"architectures":[217],"can":[218],"derived.":[220],"Extensive":[221],"experiments":[222],"illustrate":[223],"superiority":[225],"excellent":[230],"GNNs":[232],"human-designed":[234],"models.":[239]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}