{"id":"https://openalex.org/W7160904520","doi":"https://doi.org/10.48550/arxiv.2605.09862","title":"UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning","display_name":"UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7160904520","doi":"https://doi.org/10.48550/arxiv.2605.09862"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.09862","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09862","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.09862","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135926519","display_name":"Danhui Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Danhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135926493","display_name":"Zhe Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135911298","display_name":"Qing Qing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qing, Qing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135951447","display_name":"Jiarui Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiarui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135997393","display_name":"Wentao Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Wentao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135952122","display_name":"Ziqi Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Ziqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135952813","display_name":"Mingliang Hou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hou, Mingliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135969971","display_name":"Xikun Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xikun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135940016","display_name":"Renqiang Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Renqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9700999855995178,"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":0.9700999855995178,"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":0.006000000052154064,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.003700000001117587,"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":0.6776999831199646},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5601000189781189},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.41839998960494995},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.37049999833106995},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3379000127315521},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.3246000111103058},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.31949999928474426}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6776999831199646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730999946594238},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5601000189781189},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5382000207901001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4763000011444092},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.41839998960494995},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.37049999833106995},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35899999737739563},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3246000111103058},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3165999948978424},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2815000116825104},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C112987892","wikidata":"https://www.wikidata.org/wiki/Q5051574","display_name":"Catastrophic failure","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.25760000944137573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.09862","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09862","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.09862","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09862","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.8129205107688904,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Graph":[0],"learning":[1,9],"research":[2],"has":[3],"increasingly":[4],"shifted":[5],"toward":[6],"continual":[7,64],"graph":[8,40,65,79,159],"(CGL),":[10],"which":[11],"better":[12],"reflects":[13],"real-world":[14],"scenarios":[15],"where":[16,67,93],"graphs":[17],"evolve":[18],"over":[19],"time.":[20],"However,":[21],"existing":[22,170],"CGL":[23],"methods":[24,171],"largely":[25],"assume":[26],"clean":[27,140],"supervision":[28,76,149],"and":[29,74,122,150,175],"overlook":[30],"a":[31,87,107],"critical":[32],"challenge:":[33],"the":[34,39,145],"newly":[35],"arriving":[36],"portions":[37],"of":[38,147],"are":[41],"often":[42],"noisy,":[43],"due":[44],"to":[45,138],"annotation":[46],"errors":[47],"or":[48],"adversarial":[49],"corruption.":[50],"This":[51],"mismatch":[52],"limits":[53],"their":[54],"applicability":[55],"in":[56,77,172],"practice.":[57],"In":[58],"this":[59],"work,":[60],"we":[61,105],"study":[62],"robust":[63],"learning,":[66],"models":[68,94,114],"must":[69],"simultaneously":[70],"handle":[71],"catastrophic":[72,91,152],"forgetting":[73,127,176],"noisy":[75,142],"evolving":[78],"data.":[80,131],"We":[81],"show":[82],"that":[83,166],"label":[84],"noise":[85,163],"introduces":[86],"new":[88],"failure":[89],"mode,":[90],"remembering,":[92],"persistently":[95],"reinforce":[96],"corrupted":[97,148],"knowledge":[98],"across":[99],"tasks.":[100],"To":[101],"address":[102],"these":[103],"challenges,":[104],"propose":[106],"Unified":[108],"Flow-Oriented":[109],"framework":[110],"(UFO).":[111],"First,":[112],"UFO":[113,133,167],"conditional":[115],"feature":[116],"distributions":[117],"via":[118],"flow-based":[119],"generative":[120],"modeling":[121],"produces":[123],"replay":[124],"representations,":[125],"mitigating":[126],"without":[128],"storing":[129],"historical":[130],"Second,":[132],"estimates":[134],"instance-level":[135],"reliability":[136],"scores":[137],"distinguish":[139],"from":[141],"nodes,":[143],"reducing":[144],"impact":[146],"alleviating":[151],"remembering.":[153],"Extensive":[154],"experiments":[155],"on":[156],"four":[157],"benchmark":[158],"datasets":[160],"under":[161],"varying":[162],"ratios":[164],"demonstrate":[165],"consistently":[168],"outperforms":[169],"both":[173],"accuracy":[174],"metrics.":[177],"Code":[178],"is":[179],"available":[180],"at:":[181],"https://anonymous.4open.science/r/UFO.":[182]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-13T00:00:00"}