{"id":"https://openalex.org/W4213091601","doi":"https://doi.org/10.1145/3488560.3498417","title":"Few-shot Link Prediction in Dynamic Networks","display_name":"Few-shot Link Prediction in Dynamic Networks","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4213091601","doi":"https://doi.org/10.1145/3488560.3498417"},"language":"en","primary_location":{"id":"doi:10.1145/3488560.3498417","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498417","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM 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/A5060417049","display_name":"Cheng Yang","orcid":"https://orcid.org/0000-0001-7821-0030"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications &amp; Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications &amp; Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089434534","display_name":"Chunchen Wang","orcid":"https://orcid.org/0000-0002-5778-9490"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunchen Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications &amp; Tencent Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications &amp; Tencent Inc., Beijing, China","institution_ids":["https://openalex.org/I2250653659","https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068483851","display_name":"Yuanfu Lu","orcid":"https://orcid.org/0000-0002-5743-3216"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanfu Lu","raw_affiliation_strings":["Tencent Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Inc., Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079390192","display_name":"Xumeng Gong","orcid":"https://orcid.org/0000-0002-9104-1582"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xumeng Gong","raw_affiliation_strings":["Beijing University of Posts and Telecommunicationsb, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunicationsb, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705849","display_name":"Chuan Shi","orcid":"https://orcid.org/0000-0002-3734-0266"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Shi","raw_affiliation_strings":["Beijing University of Posts and Telecommunications &amp; Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications &amp; Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392089","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-8180-2886"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Tencent Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Inc., Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108049895","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0002-0766-5326"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["Tencent Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Inc., Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3602,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95605619,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1245","last_page":"1255"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9829000234603882,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8502722978591919},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6431242227554321},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.6146589517593384},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5178728103637695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5005810260772705},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49797558784484863},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49695780873298645},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45294517278671265},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.4378601312637329},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.42576518654823303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4119986891746521},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33498895168304443},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27714329957962036},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1660001575946808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8502722978591919},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6431242227554321},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.6146589517593384},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5178728103637695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5005810260772705},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49797558784484863},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49695780873298645},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45294517278671265},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.4378601312637329},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.42576518654823303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4119986891746521},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33498895168304443},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27714329957962036},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1660001575946808},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488560.3498417","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498417","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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/W1969323423","https://openalex.org/W2087161689","https://openalex.org/W2146456494","https://openalex.org/W2610034660","https://openalex.org/W2787927827","https://openalex.org/W2790339268","https://openalex.org/W2798908418","https://openalex.org/W2798918712","https://openalex.org/W2808908091","https://openalex.org/W2908404712","https://openalex.org/W2954691982","https://openalex.org/W2964983698","https://openalex.org/W2965683718","https://openalex.org/W2984323660","https://openalex.org/W2986068433","https://openalex.org/W2997198750","https://openalex.org/W2998116985","https://openalex.org/W2998313947","https://openalex.org/W3043239945","https://openalex.org/W3080670519","https://openalex.org/W3094094218","https://openalex.org/W3130274530","https://openalex.org/W3165369424","https://openalex.org/W6818609751"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2728912566"],"abstract_inverted_index":{"Dynamic":[0],"link":[1,116],"prediction,":[2],"which":[3],"aims":[4],"at":[5,57],"forecasting":[6],"future":[7,64],"edges":[8],"of":[9,28,34,158],"a":[10,13,25,54,71,103,108,124,143,165,183,188],"node":[11,160],"in":[12,20,70,118,161],"dynamic":[14,35,72,80,119,147],"network,":[15],"is":[16,37],"an":[17],"important":[18],"problem":[19],"network":[21,73,81,150],"science":[22],"and":[23,41,47,91,130,145,175],"has":[24,74],"wide":[26],"range":[27],"real-world":[29],"applications.":[30],"A":[31],"key":[32],"property":[33],"networks":[36],"that":[38,194],"new":[39,49,180],"nodes":[40,50,69,181],"links":[42,56,65],"keep":[43],"coming":[44],"over":[45],"time":[46,128],"these":[48,67],"usually":[51],"have":[52],"only":[53,187],"few":[55,189],"their":[58],"arrivals.":[59],"However,":[60],"how":[61],"to":[62,95,133,153,179],"predict":[63],"for":[66,88,114],"few-shot":[68,89,115],"not":[75,86],"been":[76],"well":[77],"studied.":[78],"Existing":[79],"representation":[82],"learning":[83],"methods":[84,201],"were":[85],"specialized":[87],"scenarios":[90],"thus":[92],"would":[93],"lead":[94],"suboptimal":[96],"performances.":[97],"In":[98],"this":[99,138],"paper,":[100],"we":[101,122],"propose":[102,123],"novel":[104],"model":[105,173],"based":[106],"on":[107,186,202],"meta-learning":[109,162],"framework,":[110],"dubbed":[111],"as":[112,172],"MetaDyGNN,":[113],"prediction":[117],"networks.":[120],"Specifically,":[121],"meta-learner":[125],"with":[126,182],"hierarchical":[127],"interval-wise":[129],"node-wise":[131],"adaptions":[132],"extract":[134],"general":[135,169],"knowledge":[136,170],"behind":[137],"problem.":[139],"We":[140],"also":[141],"design":[142],"simple":[144],"effective":[146],"graph":[148],"neural":[149],"(GNN)":[151],"module":[152],"characterize":[154],"the":[155,167],"local":[156],"structure":[157],"each":[159],"tasks.":[163],"As":[164],"result,":[166],"learned":[168],"serves":[171],"initializations,":[174],"can":[176],"quickly":[177],"adapt":[178],"fine-tuning":[184],"process":[185],"links.":[190],"Experimental":[191],"results":[192],"show":[193],"our":[195],"proposed":[196],"MetaDyGNN":[197],"significantly":[198],"outperforms":[199],"state-of-the-art":[200],"three":[203],"publicly":[204],"available":[205],"datasets.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
