{"id":"https://openalex.org/W7156023674","doi":"https://doi.org/10.1145/3774904.3792384","title":"Graph Cross-Domain Continual Fine-Tuning via Orthogonal LoRA Routing with Contrastive Expert Specialization","display_name":"Graph Cross-Domain Continual Fine-Tuning via Orthogonal LoRA Routing with Contrastive Expert Specialization","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7156023674","doi":"https://doi.org/10.1145/3774904.3792384"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792384","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792384","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792384","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038549302","display_name":"Qianyi Cai","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qianyi Cai","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-0990-5649","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052483692","display_name":"Ziyue Qiao","orcid":"https://orcid.org/0000-0002-9485-4861"},"institutions":[{"id":"https://openalex.org/I4396570619","display_name":"Great Bay University","ror":"https://ror.org/01hdgge16","country_code":null,"type":"education","lineage":["https://openalex.org/I4396570619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyue Qiao","raw_affiliation_strings":["Great Bay University, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0002-9485-4861","affiliations":[{"raw_affiliation_string":"Great Bay University, Dongguan, China","institution_ids":["https://openalex.org/I4396570619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052955078","display_name":"Minghao Yang","orcid":"https://orcid.org/0009-0007-0158-2494"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minghao Yang","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-0158-2494","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426938","display_name":"Xiao Luo","orcid":"https://orcid.org/0000-0002-7987-3714"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Luo","raw_affiliation_strings":["University of Wisconsin\u2013Madison, Madison, USA"],"raw_orcid":"https://orcid.org/0000-0002-7987-3714","affiliations":[{"raw_affiliation_string":"University of Wisconsin\u2013Madison, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134698542","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China and The Hong Kong University of Science and Technology, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-6016-6465","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China and The Hong Kong University of Science and Technology, Hong Kong SAR, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038549302"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.9605006,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1026","last_page":"1037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.7454000115394592,"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":0.7454000115394592,"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":0.18150000274181366,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.027799999341368675,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5651000142097473},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.45329999923706055},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.4309000074863434},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4189999997615814},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.40149998664855957},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.37389999628067017},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.33469998836517334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7501999735832214},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5651000142097473},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4643000066280365},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.45329999923706055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4339999854564667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43309998512268066},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.4309000074863434},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3269999921321869},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.29510000348091125},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.28060001134872437},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792384","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792384","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792384","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792384","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.448739230632782,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2560647685","https://openalex.org/W2963588172","https://openalex.org/W3004507689","https://openalex.org/W3082291914","https://openalex.org/W3094504436","https://openalex.org/W3110791298","https://openalex.org/W3127228978","https://openalex.org/W3153673236","https://openalex.org/W3160872503","https://openalex.org/W3208155237","https://openalex.org/W3215627852","https://openalex.org/W4224310713","https://openalex.org/W4225977739","https://openalex.org/W4290875366","https://openalex.org/W4318811751","https://openalex.org/W4378506766","https://openalex.org/W4382239622","https://openalex.org/W4385768091","https://openalex.org/W4389520299","https://openalex.org/W4391901119","https://openalex.org/W4392203343","https://openalex.org/W4401863349","https://openalex.org/W4401863549","https://openalex.org/W4402671841","https://openalex.org/W4409150672","https://openalex.org/W4409657342","https://openalex.org/W4412888851","https://openalex.org/W4412889807"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"a":[3,17,39,49,110,117,133],"novel":[4],"and":[5,42,62],"critical":[6],"problem":[7],"of":[8,79],"Graph":[9,20,72],"Cross-Domain":[10],"Continual":[11,73],"Fine-Tuning,":[12],"which":[13],"aims":[14],"to":[15,34,53,163],"adapt":[16],"large":[18],"pre-trained":[19],"Foundation":[21],"Model":[22],"across":[23,101],"diverse":[24],"domains.":[25],"Existing":[26],"continual":[27],"graph":[28],"learning":[29],"methods":[30],"are":[31,43],"mostly":[32],"limited":[33],"incremental":[35],"settings":[36],"within":[37],"only":[38,154],"single":[40],"domain,":[41],"typically":[44],"trained":[45],"from":[46,59],"scratch.":[47],"As":[48],"result,":[50],"they":[51],"fail":[52],"handle":[54],"cross-domain":[55,106,143],"shifts":[56],"effectively,":[57],"suffer":[58],"severe":[60],"forgetting,":[61],"lack":[63],"transferability.":[64],"To":[65],"address":[66],"these":[67],"challenges,":[68],"we":[69],"present":[70],"G-CORMoL,":[71],"Fine-tuning":[74],"with":[75,136],"Orthogonal,":[76],"Router-driven":[77],"Mixture":[78],"LoRA":[80,96,124],"experts.":[81,125],"G-CORMoL":[82,148],"achieves":[83,149],"effective":[84],"adaptation":[85],"while":[86],"preserving":[87],"prior":[88],"knowledge":[89,107,162],"by":[90],"enforcing":[91],"mathematical":[92],"orthogonality":[93],"between":[94],"expert":[95,130],"adapters,":[97],"thereby":[98],"eliminating":[99],"interference":[100],"tasks.":[102],"It":[103],"further":[104],"supports":[105],"transfer":[108],"through":[109],"symmetric":[111],"dual-driven":[112],"routing":[113],"mechanism":[114],"that":[115,147],"learns":[116],"global":[118],"composition":[119],"policy":[120],"over":[121],"all":[122],"learned":[123],"In":[126],"addition,":[127],"it":[128],"promotes":[129],"specialization":[131],"via":[132],"contrastive":[134],"objective":[135],"theoretical":[137],"guarantees.":[138],"Extensive":[139],"experiments":[140],"on":[141],"different":[142],"task":[144],"orders":[145],"demonstrate":[146],"robust":[150],"state-of-the-art":[151],"performance,":[152],"not":[153],"preventing":[155],"catastrophic":[156],"forgetting":[157],"but":[158],"also":[159],"leveraging":[160],"accumulated":[161],"enable":[164],"positive":[165],"transfer.":[166]},"counts_by_year":[],"updated_date":"2026-04-28T06:12:00.211691","created_date":"2026-04-28T00:00:00"}
