{"id":"https://openalex.org/W4385269012","doi":"https://doi.org/10.1109/tnnls.2023.3295592","title":"Who Should I Engage With at What Time? A Missing Event-Aware Temporal Graph Neural Network","display_name":"Who Should I Engage With at What Time? A Missing Event-Aware Temporal Graph Neural Network","publication_year":2023,"publication_date":"2023-07-26","ids":{"openalex":"https://openalex.org/W4385269012","doi":"https://doi.org/10.1109/tnnls.2023.3295592","pmid":"https://pubmed.ncbi.nlm.nih.gov/37494166"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3295592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3295592","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101963467","display_name":"Mingyi Liu","orcid":"https://orcid.org/0000-0001-7998-7415"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyi Liu","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-7998-7415","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010541683","display_name":"Zhiying Tu","orcid":"https://orcid.org/0000-0001-8800-4513"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiying Tu","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8800-4513","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101453596","display_name":"Xiaofei Xu","orcid":"https://orcid.org/0000-0002-9492-0312"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Xu","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-9492-0312","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100738315","display_name":"Zhongjie Wang","orcid":"https://orcid.org/0000-0002-9084-7373"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongjie Wang","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-9084-7373","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.1104,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81015803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"35","issue":"11","first_page":"16548","last_page":"16561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9951000213623047,"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":0.9951000213623047,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9746999740600586,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.955299973487854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7662309408187866},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6257240176200867},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6135777831077576},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.5716617703437805},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.5457030534744263},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4755803644657135},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46120232343673706},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.45464712381362915},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.45109012722969055},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.441205769777298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41743266582489014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37895411252975464},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2714327275753021},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.07514789700508118}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7662309408187866},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6257240176200867},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6135777831077576},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.5716617703437805},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.5457030534744263},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4755803644657135},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46120232343673706},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.45464712381362915},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.45109012722969055},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.441205769777298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41743266582489014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37895411252975464},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2714327275753021},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.07514789700508118},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3295592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3295592","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37494166","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37494166","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1684342306","display_name":null,"funder_award_id":"2021YFB3300700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G31233193","display_name":"\u5927\u6570\u636e\u73af\u5883\u4e0b\u7684\u5927\u670d\u52a1\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61832004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6134627929","display_name":null,"funder_award_id":"61832014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1994680671","https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W2000283393","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2002320543","https://openalex.org/W3099932805"],"abstract_inverted_index":{"Temporal":[0],"graph":[1,87],"neural":[2],"network":[3],"(GNN)":[4],"has":[5],"recently":[6],"received":[7],"significant":[8],"attention":[9],"due":[10],"to":[11,93,151],"its":[12],"wide":[13],"application":[14],"scenarios,":[15],"such":[16],"as":[17,66,68,117],"bioinformatics,":[18],"knowledge":[19],"graphs,":[20],"and":[21,41,61,89,102,114,153,158],"social":[22],"networks.":[23],"There":[24],"are":[25,42,51,57],"some":[26],"temporal":[27,81,120,139],"GNNs":[28],"that":[29,47,142],"achieve":[30],"remarkable":[31],"results.":[32],"However,":[33],"these":[34],"works":[35],"focus":[36],"on":[37,136,165],"future":[38,70,101],"event":[39,63],"prediction":[40],"performed":[43],"under":[44],"the":[45,100,109,126,132,146],"assumption":[46],"all":[48],"historical":[49],"events":[50,56,92,116,130],"observable.":[52],"In":[53,72],"real-world":[54,138],"applications,":[55],"not":[58],"always":[59],"observable,":[60],"estimating":[62],"time":[64,157],"is":[65],"important":[67],"predicting":[69,95],"events.":[71],"this":[73],"article,":[74],"we":[75],"propose":[76],"MTGN,":[77],"a":[78],"missing":[79,115,129],"event-aware":[80],"GNN,":[82],"which":[83],"uniformly":[84],"models":[85,108],"evolving":[86],"structure":[88],"timing":[90],"of":[91,111,128],"support":[94],"what":[96],"will":[97,105],"happen":[98],"in":[99],"when":[103],"it":[104],"happen.":[106],"MTGN":[107,143],"dynamic":[110],"both":[112],"observed":[113],"two":[118],"coupled":[119],"point":[121],"processes":[122],"(TPPs),":[123],"thereby":[124],"incorporating":[125],"effects":[127],"into":[131],"network.":[133],"Experimental":[134],"results":[135],"several":[137],"graphs":[140],"demonstrate":[141],"significantly":[144],"outperforms":[145],"existing":[147],"methods":[148],"with":[149],"up":[150],"89%":[152],"112%":[154],"more":[155],"accurate":[156],"link":[159],"prediction.":[160],"Code":[161],"can":[162],"be":[163],"found":[164],"https://github.com/HIT-ICES/TNNLS-MTGN.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
