{"id":"https://openalex.org/W4281628828","doi":"https://doi.org/10.1145/3529372.3533290","title":"Pre-trained transformer-based citation context-aware citation network embeddings","display_name":"Pre-trained transformer-based citation context-aware citation network embeddings","publication_year":2022,"publication_date":"2022-06-06","ids":{"openalex":"https://openalex.org/W4281628828","doi":"https://doi.org/10.1145/3529372.3533290"},"language":"en","primary_location":{"id":"doi:10.1145/3529372.3533290","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529372.3533290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries","raw_type":"proceedings-article"},"type":"conference-paper","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/A5048330550","display_name":"Masaya Ohagi","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaya Ohagi","raw_affiliation_strings":["The University Of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University Of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041062417","display_name":"Akiko Aizawa","orcid":"https://orcid.org/0000-0001-6544-5076"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akiko Aizawa","raw_affiliation_strings":["The University Of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University Of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.6748,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.6849143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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":0.9991999864578247,"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/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/citation","display_name":"Citation","score":0.8586732149124146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7182829976081848},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6566442847251892},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5145837664604187},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4838811159133911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29125839471817017},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20359647274017334}],"concepts":[{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.8586732149124146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7182829976081848},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6566442847251892},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5145837664604187},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4838811159133911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29125839471817017},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20359647274017334},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3529372.3533290","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529372.3533290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries","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":9,"referenced_works":["https://openalex.org/W2150569271","https://openalex.org/W2509053658","https://openalex.org/W2808556605","https://openalex.org/W2907492528","https://openalex.org/W2949181687","https://openalex.org/W2963081391","https://openalex.org/W3038111897","https://openalex.org/W3046588732","https://openalex.org/W3176638037"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2081900870","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Academic":[0],"papers":[1,15],"form":[2],"citation":[3,12,27,35,63,78,87,89,116,131,140,172,174,186,194],"networks":[4],"wherein":[5],"each":[6,21],"paper":[7,22,56,99,109,113,197],"is":[8],"a":[9,30,41,70,73,82,122,180,184],"node":[10],"and":[11,80,114,147,158],"relationships":[13],"between":[14],"are":[16,33],"edges.":[17],"The":[18],"embeddings":[19],"of":[20,44,54,75],"obtained":[23],"by":[24],"projecting":[25],"the":[26,52,66,104,107,111,115,130,135,139,163],"network":[28,36,90,175,187],"into":[29],"vector":[31],"space":[32],"called":[34],"embeddings.":[37,91],"Thus":[38],"far,":[39],"only":[40,129],"limited":[42],"number":[43],"studies":[45],"have":[46],"focused":[47],"on":[48,153],"incorporating":[49],"information":[50,76],"regarding":[51],"intent":[53],"one":[55],"to":[57,68,183],"cite":[58,69],"another":[59],"paper.":[60],"We":[61,92,142],"consider":[62],"context,":[64],"i.e.,":[65],"text":[67],"paper,":[71],"as":[72],"source":[74],"for":[77,85,171,196],"intent,":[79],"propose":[81,121],"new":[83,123],"method":[84,165,170],"generating":[86],"context-aware":[88,173],"trained":[93],"SciBERT":[94],"with":[95],"our":[96],"proposed":[97,164],"masked":[98],"prediction":[100],"task":[101],"in":[102,138],"which":[103,150],"model":[105],"predicts":[106],"cited":[108],"from":[110],"citing":[112],"context.":[117],"In":[118],"addition,":[119],"we":[120,151],"loss":[124],"function":[125],"that":[126,189],"considers":[127],"not":[128,191],"context":[132,195],"but":[133],"also":[134],"neighboring":[136],"nodes":[137],"network.":[141],"conducted":[143],"experiments":[144],"involving":[145],"citation-recommendation":[146],"paper-classification":[148],"tasks":[149],"formulated":[152],"two":[154],"existing":[155,169],"datasets:":[156],"FullTextPeer-Read":[157],"AASC.":[159],"For":[160],"both":[161],"tasks,":[162],"outperformed":[166],"hyperdoc2vec,":[167],"an":[168],"embedding;":[176],"further,":[177],"it":[178],"achieved":[179],"comparable":[181],"performance":[182],"state-of-the-art":[185],"embedding":[188],"do":[190],"utilize":[192],"any":[193],"classification.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
