{"id":"https://openalex.org/W4389814655","doi":"https://doi.org/10.48550/arxiv.2312.08672","title":"CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph","display_name":"CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389814655","doi":"https://doi.org/10.48550/arxiv.2312.08672"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2312.08672","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"journal-article","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2312.08672","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032591686","display_name":"Silu He","orcid":"https://orcid.org/0000-0003-0144-2524"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Silu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089781268","display_name":"Qinyao Luo","orcid":"https://orcid.org/0000-0003-1275-0442"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Qinyao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011955983","display_name":"Xinsha Fu","orcid":"https://orcid.org/0000-0003-0368-7605"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Xinsha","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008945926","display_name":"Ling Zhao","orcid":"https://orcid.org/0000-0002-6103-1113"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Ling","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742786","display_name":"Ronghua Du","orcid":"https://orcid.org/0000-0003-1081-5572"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Ronghua","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398353","display_name":"Haifeng Li","orcid":"https://orcid.org/0000-0003-1173-6593"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Haifeng","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.778623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":68,"max":79},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991,"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":0.9991,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9878,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9497,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trimming","display_name":"Trimming","score":0.44354135},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.41026336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6939544},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5871039},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.49650866},{"id":"https://openalex.org/C56951928","wikidata":"https://www.wikidata.org/wiki/Q3539213","display_name":"Trimming","level":2,"score":0.44354135},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.41026336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25773355},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2312.08672","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.08672","pdf_url":"http://arxiv.org/pdf/2312.08672","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2312.08672","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2312.08672","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.62,"id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4389995241","https://openalex.org/W4320149722","https://openalex.org/W4243755427","https://openalex.org/W3213655484","https://openalex.org/W2748952813","https://openalex.org/W2467235537","https://openalex.org/W2222099502","https://openalex.org/W2128287377","https://openalex.org/W1493074871"],"abstract_inverted_index":{"Local":[0],"Attention-guided":[1],"Message":[2],"Passing":[3],"Mechanism":[4],"(LAMP)":[5],"adopted":[6],"in":[7,54,74,84,102,214],"Graph":[8],"Attention":[9,119],"Networks":[10],"(GATs)":[11],"is":[12,96,160,251],"designed":[13],"to":[14,142,156],"adaptively":[15],"learn":[16],"the":[17,27,32,58,66,69,75,78,85,98,109,128,131,139,146,149,175,179,182,199,203,225,240],"importance":[18],"of":[19,34,61,68,77,90,111,148,163,229,242],"neighboring":[20,94,112],"nodes":[21,83,95],"for":[22,121],"better":[23],"local":[24],"aggregation":[25],"on":[26,210],"graph,":[28],"which":[29,159],"can":[30,64,167,223],"bring":[31],"representations":[33],"similar":[35,82],"neighbors":[36,63,143,180],"closer":[37],"effectively,":[38],"thus":[39],"showing":[40],"stronger":[41],"discrimination":[42,51,243],"ability.":[43],"However,":[44],"existing":[45],"GATs":[46,197],"suffer":[47],"from":[48,81,170],"a":[49,116,161],"significant":[50],"ability":[52,244],"decline":[53],"heterophilic":[55,123,212],"graphs":[56],"because":[57],"high":[59],"proportion":[60],"dissimilar":[62],"weaken":[65,108,174],"self-attention":[67,147],"central":[70,79,150],"node,":[71],"jointly":[72],"resulting":[73],"deviation":[76],"node":[80,226],"representation":[86],"space.":[87],"This":[88],"kind":[89,162],"effect":[91],"generated":[92,134],"by":[93,246],"called":[97],"Distraction":[99,188],"Effect":[100,155],"(DE)":[101],"this":[103],"paper.":[104],"To":[105,126,173],"estimate":[106,127],"and":[107,144,166,190,207,236],"DE":[110,132,184],"nodes,":[113],"we":[114,152,177],"propose":[115],"Causally":[117],"graph":[118,124],"network":[120],"Trimming":[122],"(CAT).":[125],"DE,":[129,158,176],"since":[130],"are":[133],"through":[135],"two":[136],"paths":[137],"(grab":[138],"attention":[140],"assigned":[141],"reduce":[145],"node),":[151],"use":[153],"Total":[154],"model":[157,201],"causal":[164],"estimand":[165],"be":[168],"estimated":[169],"intervened":[171],"data;":[172],"identify":[178],"with":[181],"highest":[183],"(we":[185],"call":[186],"them":[187],"Neighbors)":[189],"remove":[191],"them.":[192],"We":[193],"adopt":[194],"three":[195,215],"representative":[196],"as":[198],"base":[200,231],"within":[202],"proposed":[204],"CAT":[205,222],"framework":[206],"conduct":[208],"experiments":[209,219,235],"seven":[211],"datasets":[213],"different":[216],"sizes.":[217],"Comparative":[218],"show":[220],"that":[221],"improve":[224],"classification":[227],"accuracy":[228],"all":[230],"GAT":[232],"models.":[233],"Ablation":[234],"visualization":[237],"further":[238],"validate":[239],"enhancement":[241],"brought":[245],"CAT.":[247],"The":[248],"source":[249],"code":[250],"available":[252],"at":[253],"https://github.com/GeoX-Lab/CAT.":[254]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4389814655","counts_by_year":[],"updated_date":"2024-12-19T23:56:25.817887","created_date":"2023-12-16"}