{"id":"https://openalex.org/W3169741886","doi":"https://doi.org/10.1145/3447548.3467393","title":"Subset Node Representation Learning over Large Dynamic Graphs","display_name":"Subset Node Representation Learning over Large Dynamic Graphs","publication_year":2021,"publication_date":"2021-08-12","ids":{"openalex":"https://openalex.org/W3169741886","doi":"https://doi.org/10.1145/3447548.3467393","mag":"3169741886"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467393","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5050851471","display_name":"Xingzhi Guo","orcid":"https://orcid.org/0000-0002-3534-3877"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingzhi Guo","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110743700","display_name":"Baojian Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baojian Zhou","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060741187","display_name":"Steven Skiena","orcid":"https://orcid.org/0000-0003-0397-7514"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven Skiena","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"516","last_page":"526"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9724000096321106,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9588000178337097,"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":0.7351327538490295},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.6002297401428223},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5748269557952881},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5355598330497742},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48858198523521423},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4870007634162903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31025442481040955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7351327538490295},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.6002297401428223},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5748269557952881},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5355598330497742},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48858198523521423},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4870007634162903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31025442481040955},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447548.3467393","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1536734652","https://openalex.org/W1917516492","https://openalex.org/W1918700400","https://openalex.org/W1932742904","https://openalex.org/W1982469530","https://openalex.org/W2022322548","https://openalex.org/W2039191721","https://openalex.org/W2039750798","https://openalex.org/W2066459332","https://openalex.org/W2070996757","https://openalex.org/W2086254934","https://openalex.org/W2106891910","https://openalex.org/W2122799790","https://openalex.org/W2143724577","https://openalex.org/W2154851992","https://openalex.org/W2162691596","https://openalex.org/W2187089797","https://openalex.org/W2250342289","https://openalex.org/W2295914876","https://openalex.org/W2311742723","https://openalex.org/W2766871436","https://openalex.org/W2787927827","https://openalex.org/W2788614083","https://openalex.org/W2798918712","https://openalex.org/W2807021761","https://openalex.org/W2808087697","https://openalex.org/W2913058692","https://openalex.org/W2962756421","https://openalex.org/W2963885834","https://openalex.org/W2964164193","https://openalex.org/W2964297465","https://openalex.org/W2965683718","https://openalex.org/W2986486878","https://openalex.org/W3019863187","https://openalex.org/W3026076535","https://openalex.org/W3057525668","https://openalex.org/W3080690551","https://openalex.org/W3098702884","https://openalex.org/W3100848837","https://openalex.org/W3101588560","https://openalex.org/W3104097132","https://openalex.org/W3111962319","https://openalex.org/W6854371628"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W3118638206","https://openalex.org/W1983629434","https://openalex.org/W4324271173","https://openalex.org/W1967645776","https://openalex.org/W1588041347","https://openalex.org/W4386136067","https://openalex.org/W4286858940"],"abstract_inverted_index":{"Dynamic":[0],"graph":[1],"representation":[2],"learning":[3],"is":[4,57],"a":[5,36],"task":[6],"to":[7,24,51],"learn":[8],"node":[9],"embeddings":[10],"over":[11],"dynamic":[12],"networks,":[13],"and":[14,67],"has":[15],"many":[16],"important":[17],"applications,":[18],"including":[19],"knowledge":[20],"graphs,":[21],"citation":[22],"networks":[23],"social":[25],"networks.":[26],"Graphs":[27],"of":[28,39,65],"this":[29,52],"type":[30],"are":[31,41,48],"usually":[32],"large-scale":[33],"but":[34],"only":[35],"small":[37],"subset":[38],"vertices":[40],"related":[42],"in":[43],"downstream":[44],"tasks.":[45],"Current":[46],"methods":[47],"too":[49],"expensive":[50],"setting":[53],"as":[54],"the":[55,63],"complexity":[56],"at":[58],"best":[59],"linear-dependent":[60],"on":[61],"both":[62],"number":[64],"nodes":[66],"edges.":[68]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
