{"id":"https://openalex.org/W4412394894","doi":"https://doi.org/10.1145/3726302.3729982","title":"From Knowledge Forgetting to Accumulation: Evolutionary Relation Path Passing for Lifelong Knowledge Graph Embedding","display_name":"From Knowledge Forgetting to Accumulation: Evolutionary Relation Path Passing for Lifelong Knowledge Graph Embedding","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412394894","doi":"https://doi.org/10.1145/3726302.3729982"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3729982","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729982","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729982","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729982","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100309994","display_name":"Jing Yang","orcid":"https://orcid.org/0009-0000-4682-4839"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0009-0000-4682-4839","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinfa Jiang","orcid":"https://orcid.org/0009-0007-3276-7707"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinfa Jiang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China","School of Computer Science and Technology, Hainan University, Haikou, Hainan, China and School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0009-0007-3276-7707","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer Science and Technology, Hainan University, Haikou, Hainan, China and School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027538242","display_name":"Xiaowen Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowen Jiang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China","School of Computer Science and Technology, Hainan University, Haikou, Hainan, China and School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0009-0006-9773-1265","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer Science and Technology, Hainan University, Haikou, Hainan, China and School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086470221","display_name":"Yuan Gao","orcid":"https://orcid.org/0000-0003-4096-9134"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Gao","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0000-0003-4096-9134","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049154222","display_name":"Laurence T. Yang","orcid":"https://orcid.org/0000-0002-7986-4244"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laurence T. Yang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0000-0002-7986-4244","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102762044","display_name":"Shaojun Zou","orcid":"https://orcid.org/0009-0007-3694-9532"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojun Zou","raw_affiliation_strings":["School of Computer Science and Technology, Hainan University, Haikou, Hainan, China"],"raw_orcid":"https://orcid.org/0009-0007-3694-9532","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hainan University, Haikou, Hainan, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057884197","display_name":"Shundong Yang","orcid":"https://orcid.org/0009-0007-4454-9889"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shundong Yang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0009-0007-4454-9889","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1197","last_page":"1206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9944999814033508,"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":0.9907000064849854,"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/forgetting","display_name":"Forgetting","score":0.780332624912262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6595259308815002},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6338990926742554},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5996101498603821},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5803669095039368},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5112638473510742},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4900142252445221},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4457729160785675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36162668466567993},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1466636061668396},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.11237207055091858},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09209871292114258},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0821746289730072}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.780332624912262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6595259308815002},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6338990926742554},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5996101498603821},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5803669095039368},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5112638473510742},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4900142252445221},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4457729160785675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36162668466567993},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1466636061668396},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.11237207055091858},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09209871292114258},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0821746289730072}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726302.3729982","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729982","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729982","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3729982","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729982","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729982","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2131302496","display_name":null,"funder_award_id":"62302131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G214697123","display_name":null,"funder_award_id":"62302130","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412394894.pdf","grobid_xml":"https://content.openalex.org/works/W4412394894.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2151502664","https://openalex.org/W2184957013","https://openalex.org/W2283196293","https://openalex.org/W2560647685","https://openalex.org/W2728059831","https://openalex.org/W2914393402","https://openalex.org/W2950393809","https://openalex.org/W2963733234","https://openalex.org/W3099554319","https://openalex.org/W3128220336","https://openalex.org/W4224936585","https://openalex.org/W4382239889","https://openalex.org/W4393153498","https://openalex.org/W4396823873","https://openalex.org/W4399657602","https://openalex.org/W4400525003","https://openalex.org/W4400525493","https://openalex.org/W4400525552","https://openalex.org/W4400528489","https://openalex.org/W4400529865","https://openalex.org/W4400532371","https://openalex.org/W4401024037","https://openalex.org/W4403792035"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2883748392","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2808284704","https://openalex.org/W2954554213","https://openalex.org/W2251363251","https://openalex.org/W4206547516","https://openalex.org/W4293236197"],"abstract_inverted_index":{"The":[0],"continual":[1],"emergence":[2],"of":[3,12,19,39,78,182,208,214],"new":[4,33,63,70],"entities":[5],"and":[6,53,69,146,151,187],"relations":[7],"drives":[8],"the":[9,17,75,87,134,205,212,219],"dynamic":[10],"expansion":[11],"knowledge":[13,79,96,103,106,190,199,224],"graphs":[14],"(KG).":[15],"In":[16],"face":[18],"such":[20],"growing":[21,49],"KG,":[22],"relearning":[23],"from":[24,32,102,167],"scratch":[25],"wastes":[26],"acquired":[27],"knowledge,":[28,71,216],"while":[29],"learning":[30,47],"solely":[31],"snapshots":[34,64,131,150],"leads":[35],"to":[36,60,62,100,105,123,130,133,162,204,222],"model":[37,93,221],"forgetting":[38,104,166,207],"old":[40,68],"knowledge.":[41],"Existing":[42],"methods":[43],"focus":[44],"on":[45],"lifelong":[46,95],"in":[48,74,137,156,176,184,189,197,202],"KG":[50],"through":[51],"transfer":[52],"regularize":[54],"embeddings.":[55],"However,":[56],"extensive":[57],"entity":[58,169],"updates":[59],"adapt":[61,129],"introduce":[65],"conflicts":[66],"between":[67],"thereby":[72,108],"resulting":[73],"inevitable":[76,164],"occurrence":[77],"forgetting.":[80],"To":[81,211],"address":[82],"these":[83],"challenges,":[84],"we":[85,114,141],"propose":[86,115,142],"Evolutionary":[88],"Relation":[89],"Path":[90],"Passing":[91],"(ERPP)":[92],"for":[94],"graph":[97],"embedding,":[98],"aiming":[99],"shift":[101],"accumulation,":[107,201],"achieving":[109,198],"accurate":[110],"long-term":[111,185],"prediction.":[112],"Specifically,":[113],"a":[116,143,195],"snapshot":[117],"conditional":[118],"relation":[119,144,153],"path":[120,154],"passing":[121,155],"strategy":[122],"generate":[124],"expressive":[125],"representations":[126],"that":[127],"better":[128],"compared":[132],"transferred":[135],"embeddings":[136],"existing":[138,209],"methods.":[139],"Subsequently,":[140],"inheritance":[145],"evolution":[147],"mechanism":[148],"across":[149],"continue":[152],"next":[157],"snapshots.":[158],"This":[159],"allows":[160],"ERPP":[161,172,193,217],"avoid":[163],"catastrophic":[165],"frequent":[168],"embedding":[170],"updates.":[171],"outperforms":[173],"SOTA":[174],"models":[175],"35":[177],"scenarios,":[178],"with":[179],"average":[180],"improvements":[181],"11.1%":[183],"prediction":[186],"12.9%":[188],"transfer.":[191],"Moreover,":[192],"makes":[194],"breakthrough":[196],"positive":[200],"contrast":[203],"negative":[206],"models.":[210],"best":[213],"our":[215],"is":[218,228],"first":[220],"realize":[223],"accumulation.":[225],"Our":[226],"code":[227],"available":[229],"at":[230],"https://anonymous.4open.science/r/ERPP-6D66.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}