{"id":"https://openalex.org/W3163256474","doi":"https://doi.org/10.1109/icassp39728.2021.9414015","title":"Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks","display_name":"Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3163256474","doi":"https://doi.org/10.1109/icassp39728.2021.9414015","mag":"3163256474"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2107.10957","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017338180","display_name":"Dylan Sandfelder","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dylan Sandfelder","raw_affiliation_strings":["McGill University, Mila - Quebec AI Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McGill University, Mila - Quebec AI Institute","institution_ids":["https://openalex.org/I4210164802","https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030820031","display_name":"Priyesh Vijayan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Priyesh Vijayan","raw_affiliation_strings":["McGill University, Mila - Quebec AI Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McGill University, Mila - Quebec AI Institute","institution_ids":["https://openalex.org/I4210164802","https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103760053","display_name":"William L. Hamilton","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"William L. Hamilton","raw_affiliation_strings":["McGill University, Mila - Quebec AI Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McGill University, Mila - Quebec AI Institute","institution_ids":["https://openalex.org/I4210164802","https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8523","last_page":"8527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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":0.9991999864578247,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9532999992370605,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9254999756813049,"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/id-ego-and-super-ego","display_name":"Id, ego and super-ego","score":0.823842465877533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6862227916717529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4448629319667816},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4257257580757141},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41938483715057373},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.35866692662239075},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30651772022247314},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22808143496513367},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.09531822800636292}],"concepts":[{"id":"https://openalex.org/C9180747","wikidata":"https://www.wikidata.org/wiki/Q486893","display_name":"Id, ego and super-ego","level":2,"score":0.823842465877533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6862227916717529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4448629319667816},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4257257580757141},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41938483715057373},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.35866692662239075},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30651772022247314},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22808143496513367},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.09531822800636292}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2107.10957","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.10957","pdf_url":"https://arxiv.org/pdf/2107.10957","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2107.10957","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.10957","pdf_url":"https://arxiv.org/pdf/2107.10957","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W67413104","https://openalex.org/W1908728294","https://openalex.org/W1990488619","https://openalex.org/W2102907934","https://openalex.org/W2112090702","https://openalex.org/W2150049940","https://openalex.org/W2162630660","https://openalex.org/W2558748708","https://openalex.org/W2606780347","https://openalex.org/W2624431344","https://openalex.org/W2900470550","https://openalex.org/W2947795716","https://openalex.org/W2962711740","https://openalex.org/W2962767366","https://openalex.org/W2962810718","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W2965757697","https://openalex.org/W2970493342","https://openalex.org/W2995889583","https://openalex.org/W2996471083","https://openalex.org/W3007332492","https://openalex.org/W3035356236","https://openalex.org/W3087257704","https://openalex.org/W3100848837","https://openalex.org/W4235019172","https://openalex.org/W4287829537","https://openalex.org/W4288347098","https://openalex.org/W4294558607","https://openalex.org/W6602764823","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6754929296","https://openalex.org/W6756561102","https://openalex.org/W6762453230","https://openalex.org/W6763392795","https://openalex.org/W6774097426","https://openalex.org/W6774527605","https://openalex.org/W6785161141"],"related_works":["https://openalex.org/W4317827682","https://openalex.org/W2384047230","https://openalex.org/W2349664984","https://openalex.org/W129516394","https://openalex.org/W3151918114","https://openalex.org/W2912578624","https://openalex.org/W2949426115","https://openalex.org/W2359694826","https://openalex.org/W2742105664","https://openalex.org/W2971369648"],"abstract_inverted_index":{"Graph":[0],"neural":[1],"networks":[2],"(GNNs)":[3],"have":[4],"achieved":[5],"remarkable":[6],"success":[7],"as":[8,125],"a":[9,47,126],"framework":[10],"for":[11],"deep":[12],"learning":[13],"on":[14,63,134],"graph-structured":[15],"data.":[16],"However,":[17],"GNNs":[18,39],"are":[19,40,82,96],"fundamentally":[20],"limited":[21],"by":[22],"their":[23],"tree-structured":[24],"inductive":[25],"bias:":[26],"the":[27,32,56,67,106,119,143],"WL-subtree":[28],"kernel":[29],"formulation":[30],"bounds":[31],"representational":[33],"capacity":[34],"of":[35,43,98,108,121,128],"GNNs,":[36],"and":[37,78,139],"polynomial-time":[38],"provably":[41,83],"incapable":[42],"recognizing":[44,99],"triangles":[45],"in":[46,110],"graph.":[48],"In":[49,90],"this":[50,148],"work,":[51],"we":[52,92],"propose":[53],"to":[54],"augment":[55],"GNN":[57],"message-passing":[58,88],"operations":[59],"with":[60],"information":[61],"de-fined":[62],"ego":[64],"graphs":[65],"(i.e.,":[66],"induced":[68],"subgraph":[69],"surrounding":[70],"each":[71],"node).":[72],"We":[73,113],"term":[74],"these":[75],"approaches":[76],"Ego-GNNs":[77,81,95],"show":[79,93],"that":[80,94],"more":[84],"powerful":[85],"than":[86],"standard":[87],"GNNs.":[89],"particular,":[91],"capable":[97],"closed":[100],"triangles,":[101],"which":[102],"is":[103],"essential":[104],"given":[105],"prominence":[107],"transitivity":[109],"real-world":[111],"graphs.":[112],"also":[114],"motivate":[115],"our":[116],"approach":[117],"from":[118],"perspective":[120],"graph":[122,130],"signal":[123],"processing":[124],"form":[127],"multiplex":[129],"convolution.":[131],"Experimental":[132],"results":[133],"node":[135],"classification":[136],"using":[137,147],"synthetic":[138],"real":[140],"data":[141],"highlight":[142],"achievable":[144],"performance":[145],"gains":[146],"approach.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}