{"id":"https://openalex.org/W3167351815","doi":"https://doi.org/10.1145/3447548.3467379","title":"Temporal Graph Signal Decomposition","display_name":"Temporal Graph Signal Decomposition","publication_year":2021,"publication_date":"2021-08-12","ids":{"openalex":"https://openalex.org/W3167351815","doi":"https://doi.org/10.1145/3447548.3467379","mag":"3167351815"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467379","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467379","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 & Data Mining","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.13517","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040305954","display_name":"Maxwell McNeil","orcid":"https://orcid.org/0009-0007-3298-5093"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Maxwell J. McNeil","raw_affiliation_strings":["University at Albany \u0096 SUNY, Albany, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Albany \u0096 SUNY, Albany, NY, USA","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040295345","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0001-9075-2035"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["University at Albany \u0096 SUNY, Albany, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Albany \u0096 SUNY, Albany, NY, USA","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001272357","display_name":"Petko Bogdanov","orcid":"https://orcid.org/0000-0001-6310-3224"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Petko Bogdanov","raw_affiliation_strings":["University at Albany \u0096 SUNY, Albany, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Albany \u0096 SUNY, Albany, NY, USA","institution_ids":["https://openalex.org/I392282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040305954"],"corresponding_institution_ids":["https://openalex.org/I392282"],"apc_list":null,"apc_paid":null,"fwci":1.1838,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78356627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1191","last_page":"1201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9986000061035156,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9926000237464905,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6933841705322266},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6479594111442566},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5068419575691223},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4325661361217499},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43080249428749084},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36070454120635986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33878326416015625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33452683687210083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32932326197624207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18942123651504517}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6933841705322266},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6479594111442566},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5068419575691223},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4325661361217499},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43080249428749084},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36070454120635986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33878326416015625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33452683687210083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32932326197624207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18942123651504517}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3447548.3467379","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467379","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 & Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2106.13517","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.13517","pdf_url":"https://arxiv.org/pdf/2106.13517","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:2106.13517","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.13517","pdf_url":"https://arxiv.org/pdf/2106.13517","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W323028997","https://openalex.org/W1530218127","https://openalex.org/W1531869541","https://openalex.org/W1583500311","https://openalex.org/W1605941627","https://openalex.org/W1736339626","https://openalex.org/W2005051528","https://openalex.org/W2011227258","https://openalex.org/W2044023374","https://openalex.org/W2053893747","https://openalex.org/W2073595285","https://openalex.org/W2076430826","https://openalex.org/W2089554624","https://openalex.org/W2101491865","https://openalex.org/W2102135646","https://openalex.org/W2106005123","https://openalex.org/W2108675631","https://openalex.org/W2110531331","https://openalex.org/W2120121938","https://openalex.org/W2126708984","https://openalex.org/W2129812935","https://openalex.org/W2130187411","https://openalex.org/W2143554828","https://openalex.org/W2153663612","https://openalex.org/W2164278908","https://openalex.org/W2182832784","https://openalex.org/W2204457080","https://openalex.org/W2223687698","https://openalex.org/W2293546752","https://openalex.org/W2295124130","https://openalex.org/W2295789823","https://openalex.org/W2342643507","https://openalex.org/W2388105627","https://openalex.org/W2397013632","https://openalex.org/W2519887557","https://openalex.org/W2567070715","https://openalex.org/W2590218887","https://openalex.org/W2610034660","https://openalex.org/W2610153490","https://openalex.org/W2734408317","https://openalex.org/W2775056555","https://openalex.org/W2776807095","https://openalex.org/W2796431263","https://openalex.org/W2803805253","https://openalex.org/W2808125774","https://openalex.org/W2809595618","https://openalex.org/W2887475585","https://openalex.org/W2926608040","https://openalex.org/W2944170995","https://openalex.org/W2957946950","https://openalex.org/W2962946486","https://openalex.org/W2963043672","https://openalex.org/W2963076818","https://openalex.org/W2963384510","https://openalex.org/W2964015378","https://openalex.org/W2964244673","https://openalex.org/W2982506308","https://openalex.org/W3003413336","https://openalex.org/W3100264733","https://openalex.org/W3100282875","https://openalex.org/W3103253084","https://openalex.org/W3103720336","https://openalex.org/W3147354744","https://openalex.org/W3192966765","https://openalex.org/W4212774754","https://openalex.org/W4292363360","https://openalex.org/W4299718460","https://openalex.org/W6681229993","https://openalex.org/W6762063662","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W4390961098","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W2472172556","https://openalex.org/W1570805059","https://openalex.org/W2357266745","https://openalex.org/W1578824628","https://openalex.org/W2324780611","https://openalex.org/W3122321533"],"abstract_inverted_index":{"Temporal":[0],"graph":[1,16,68,95],"signals":[2],"are":[3],"multivariate":[4],"time":[5,38],"series":[6],"with":[7,11],"individual":[8],"components":[9],"associated":[10],"nodes":[12],"of":[13,19,28,46,60,75,93],"a":[14,47,88],"fixed":[15],"structure.":[17],"Data":[18],"this":[20],"kind":[21],"arises":[22],"in":[23,65,71],"many":[24],"domains":[25],"including":[26],"activity":[27],"social":[29],"network":[30,33,45],"users,":[31],"sensor":[32],"readings":[34],"over":[35],"time,":[36],"and":[37,69,90],"course":[39],"gene":[40],"expression":[41],"within":[42],"the":[43,66,72,76],"interaction":[44],"model":[48],"organism.":[49],"Traditional":[50],"matrix":[51],"decomposition":[52],"methods":[53],"applied":[54],"to":[55,86],"such":[56,84],"data":[57],"fall":[58],"short":[59],"exploiting":[61],"structural":[62],"regularities":[63],"encoded":[64],"underlying":[67],"also":[70],"temporal":[73,94],"patterns":[74],"signal.":[77],"How":[78],"can":[79],"we":[80],"take":[81],"into":[82],"account":[83],"structure":[85],"obtain":[87],"succinct":[89],"interpretable":[91],"representation":[92],"signals?":[96]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}