{"id":"https://openalex.org/W2998116985","doi":"https://doi.org/10.1145/3336191.3371845","title":"DySAT","display_name":"DySAT","publication_year":2020,"publication_date":"2020-01-20","ids":{"openalex":"https://openalex.org/W2998116985","doi":"https://doi.org/10.1145/3336191.3371845","mag":"2998116985"},"language":"en","primary_location":{"id":"doi:10.1145/3336191.3371845","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th 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/A5103854691","display_name":"Aravind Sankar","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aravind Sankar","raw_affiliation_strings":["University of Illinois, Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois, Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101547532","display_name":"Yanhong Wu","orcid":"https://orcid.org/0000-0001-7930-2201"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanhong Wu","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103084682","display_name":"Liang Gou","orcid":"https://orcid.org/0009-0006-9138-3351"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Gou","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756628","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-5556-3896"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038736812","display_name":"Hao Yang","orcid":"https://orcid.org/0000-0001-8861-7010"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Yang","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103854691"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":39.1448,"has_fulltext":false,"cited_by_count":557,"citation_normalized_percentile":{"value":0.99842792,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"519","last_page":"527"},"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":0.9993000030517578,"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/T11719","display_name":"Data Quality and Management","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7591701745986938},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5713487863540649},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5259262323379517},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44357830286026},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41472315788269043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40484678745269775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591701745986938},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5713487863540649},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5259262323379517},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44357830286026},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41472315788269043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40484678745269775},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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:10.1145/3336191.3371845","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and 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":29,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1917516492","https://openalex.org/W2001141328","https://openalex.org/W2039750798","https://openalex.org/W2108614537","https://openalex.org/W2154851992","https://openalex.org/W2468907370","https://openalex.org/W2593390416","https://openalex.org/W2623187518","https://openalex.org/W2624431344","https://openalex.org/W2770717124","https://openalex.org/W2786016794","https://openalex.org/W2790197930","https://openalex.org/W2798918712","https://openalex.org/W2808087697","https://openalex.org/W2808908091","https://openalex.org/W2893944917","https://openalex.org/W2954691982","https://openalex.org/W2962756421","https://openalex.org/W2963403868","https://openalex.org/W2970485172","https://openalex.org/W2978538455","https://openalex.org/W2985513013","https://openalex.org/W2987684747","https://openalex.org/W2999693458","https://openalex.org/W3103254545","https://openalex.org/W3104097132","https://openalex.org/W3111962319","https://openalex.org/W4246941204"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W3118638206","https://openalex.org/W4324271173","https://openalex.org/W1983629434","https://openalex.org/W1967645776","https://openalex.org/W2352227742","https://openalex.org/W1480923359","https://openalex.org/W1588041347"],"abstract_inverted_index":{"Learning":[0],"node":[1,14,45],"representations":[2,46],"in":[3],"graphs":[4,27,31],"is":[5],"important":[6],"for":[7],"many":[8,29],"applications":[9],"such":[10],"as":[11],"link":[12],"prediction,":[13],"classification,":[15],"and":[16],"community":[17],"detection.":[18],"Existing":[19],"graph":[20,37],"representation":[21],"learning":[22],"methods":[23],"primarily":[24],"target":[25],"static":[26],"while":[28],"real-world":[30],"evolve":[32],"over":[33,47],"time.":[34,48],"Complex":[35],"time-varying":[36],"structures":[38],"make":[39],"it":[40],"challenging":[41],"to":[42],"learn":[43],"informative":[44]},"counts_by_year":[{"year":2026,"cited_by_count":40},{"year":2025,"cited_by_count":129},{"year":2024,"cited_by_count":102},{"year":2023,"cited_by_count":113},{"year":2022,"cited_by_count":80},{"year":2021,"cited_by_count":70},{"year":2020,"cited_by_count":23}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2020-01-10T00:00:00"}