{"id":"https://openalex.org/W4392911152","doi":"https://doi.org/10.1109/icassp48485.2024.10447631","title":"Inference of Time\u2013Varying Graph Topologies via Gaussian Processes","display_name":"Inference of Time\u2013Varying Graph Topologies via Gaussian Processes","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392911152","doi":"https://doi.org/10.1109/icassp48485.2024.10447631"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5106975975","display_name":"Chen Cui","orcid":"https://orcid.org/0009-0000-3586-7737"},"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":true,"raw_author_name":"Chen Cui","raw_affiliation_strings":["Stony Brook University,Department of Electrical and Computer Engineering,Stony Brook,NY,USA","Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University,Department of Electrical and Computer Engineering,Stony Brook,NY,USA","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006962534","display_name":"Petar M. Djuri\u0107","orcid":"https://orcid.org/0000-0001-7791-3199"},"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":"Petar M. Djuri\u0107","raw_affiliation_strings":["Stony Brook University,Department of Electrical and Computer Engineering,Stony Brook,NY,USA","Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University,Department of Electrical and Computer Engineering,Stony Brook,NY,USA","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5106975975"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61721789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"13276","last_page":"13280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9603999853134155,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9603999853134155,"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/network-topology","display_name":"Network topology","score":0.6821966767311096},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6703305840492249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6146215200424194},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47832393646240234},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4745011031627655},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.46575385332107544},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37618035078048706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21639475226402283},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08579391241073608},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07821372151374817}],"concepts":[{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.6821966767311096},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6703305840492249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6146215200424194},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47832393646240234},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4745011031627655},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.46575385332107544},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37618035078048706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21639475226402283},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08579391241073608},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07821372151374817},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2011863452","https://openalex.org/W2116958223","https://openalex.org/W2139299821","https://openalex.org/W2148154358","https://openalex.org/W2463327569","https://openalex.org/W2545344914","https://openalex.org/W2585019672","https://openalex.org/W2643391362","https://openalex.org/W2789439234","https://openalex.org/W2791489647","https://openalex.org/W2793088010","https://openalex.org/W2795792929","https://openalex.org/W2880842812","https://openalex.org/W2949593437","https://openalex.org/W2999128473","https://openalex.org/W3020044295","https://openalex.org/W3197577579","https://openalex.org/W4214833138","https://openalex.org/W4296871128","https://openalex.org/W4313133172","https://openalex.org/W4372265772","https://openalex.org/W4379053377","https://openalex.org/W6753263680","https://openalex.org/W6772838925"],"related_works":["https://openalex.org/W2086397253","https://openalex.org/W2133122801","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W2055243143","https://openalex.org/W3081478936","https://openalex.org/W2785612136","https://openalex.org/W2099529706","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"explore":[4],"the":[5,38,57,61],"estimation":[6],"of":[7],"directed":[8],"time-varying":[9,39,49],"graph":[10,89],"topologies,":[11],"which":[12],"represent":[13],"evolving":[14],"relationships":[15,51],"among":[16,52],"nodes":[17],"in":[18],"high-dimensional,":[19],"interdependent":[20],"data.":[21],"We":[22,55],"introduce":[23],"a":[24,83],"novel":[25],"fully":[26],"Bayesian":[27],"method":[28,59,71],"based":[29],"on":[30],"Gaussian":[31],"processes,":[32],"employing":[33],"random":[34],"walks":[35],"to":[36,78],"model":[37],"edge":[40],"weights":[41],"with":[42],"time.":[43],"This":[44],"approach":[45],"accommodates":[46],"nonlinear":[47],"and":[48,75,91],"lagged":[50],"time":[53],"series.":[54],"implement":[56],"proposed":[58],"using":[60],"Hamiltonian":[62],"Monte":[63],"Carlo":[64],"method.":[65],"Numerical":[66],"tests":[67],"reveal":[68],"that":[69],"our":[70],"performs":[72],"very":[73],"well":[74],"is":[76],"comparable":[77],"state-of-the-art":[79],"methods,":[80],"making":[81],"it":[82],"promising":[84],"tool":[85],"for":[86],"unveiling":[87],"dynamic":[88],"structures":[90],"causality.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
