{"id":"https://openalex.org/W7163219470","doi":"https://doi.org/10.48550/arxiv.2606.00808","title":"Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation","display_name":"Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation","publication_year":2026,"publication_date":"2026-05-30","ids":{"openalex":"https://openalex.org/W7163219470","doi":"https://doi.org/10.48550/arxiv.2606.00808"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.00808","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00808","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2606.00808","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137666571","display_name":"Yingxu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yingxu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137647930","display_name":"Xinwang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xinwang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137654183","display_name":"Siyang Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Siyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137667190","display_name":"Nan Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Nan","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.5092999935150146,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.5092999935150146,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.1615999937057495,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.11349999904632568,"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/graph","display_name":"Graph","score":0.5324000120162964},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4571000039577484},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.42489999532699585},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.4101000130176544},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.40540000796318054},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4009000062942505},{"id":"https://openalex.org/keywords/graph-rewriting","display_name":"Graph rewriting","score":0.3596999943256378},{"id":"https://openalex.org/keywords/named-graph","display_name":"Named graph","score":0.3467000126838684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.600600004196167},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5324000120162964},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.49779999256134033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4772000014781952},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4571000039577484},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.40540000796318054},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4009000062942505},{"id":"https://openalex.org/C558772884","wikidata":"https://www.wikidata.org/wiki/Q1508564","display_name":"Graph rewriting","level":3,"score":0.3596999943256378},{"id":"https://openalex.org/C110893760","wikidata":"https://www.wikidata.org/wiki/Q3115590","display_name":"Named graph","level":5,"score":0.3467000126838684},{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.3091999888420105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30889999866485596},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3012999892234802},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C5737132","wikidata":"https://www.wikidata.org/wiki/Q1101814","display_name":"Clique-width","level":5,"score":0.295199990272522},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.2946000099182129},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2930999994277954},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.28630000352859497},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27480000257492065},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.266400009393692},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.00808","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00808","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2606.00808","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00808","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"id":"https://metadata.un.org/sdg/10","score":0.6086559891700745,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Source-free":[0],"graph":[1,9,47,115,150,178],"domain":[2,182],"adaptation":[3,116],"(SF-GDA)":[4],"aims":[5],"to":[6,11,124],"adapt":[7],"source-trained":[8],"models":[10],"unlabeled":[12],"target":[13,69,125],"graphs":[14,17,126],"when":[15],"source":[16],"are":[18],"no":[19],"longer":[20],"accessible.":[21],"A":[22],"central":[23],"obstacle":[24],"is":[25],"pseudo-label":[26,64,79,121],"reliability:":[27],"under":[28,84,180],"feature":[29],"and":[30,39,88,100,131,142,158,176,189],"topological":[31],"shifts,":[32],"source-induced":[33],"predictions":[34],"may":[35],"become":[36],"confidently":[37],"wrong,":[38],"indiscriminate":[40],"self-training":[41],"can":[42,81],"amplify":[43],"systematic":[44],"errors":[45],"through":[46,155],"message":[48],"passing.":[49],"This":[50],"paper":[51],"studies":[52],"SF-GDA":[53],"from":[54],"a":[55,73,90,113,145],"selective":[56],"pseudo-labeling":[57],"perspective.":[58],"Instead":[59],"of":[60],"assuming":[61],"globally":[62],"bounded":[63],"noise":[65,80],"over":[66],"the":[67,160],"entire":[68],"domain,":[70],"we":[71,107],"identify":[72],"confidence-consistent":[74],"safe":[75],"subspace":[76],"on":[77,174],"which":[78],"be":[82],"controlled":[83],"restricted":[85],"posterior":[86],"discrepancy,":[87],"derive":[89],"target-risk":[91],"decomposition":[92],"that":[93,118,185],"separates":[94],"safe-subspace":[95],"fitting":[96],"error,":[97],"selected-label":[98],"noise,":[99],"uncertain-set":[101],"risk.":[102],"Guided":[103],"by":[104,128],"this":[105],"analysis,":[106],"propose":[108],"SafeSubspace":[109],"Pseudo-Label":[110],"Refinement":[111],"(S$^2$PLR),":[112],"source-free":[114,194],"framework":[117],"applies":[119],"hard":[120,171],"supervision":[122],"only":[123],"supported":[127],"both":[129],"semantic":[130,137],"structural":[132,147],"evidence.":[133],"Specifically,":[134],"S$^2$PLR":[135,186],"estimates":[136],"reliability":[138],"using":[139],"source-committee":[140],"confidence":[141],"disagreement,":[143],"learns":[144],"targetintrinsic":[146],"representation":[148],"via":[149],"contrastive":[151],"learning,":[152],"verifies":[153],"pseudo-labels":[154],"neighborhood":[156],"consistency,":[157],"exploits":[159],"remaining":[161],"uncertain":[162],"samples":[163],"with":[164],"noise-tolerant":[165],"soft":[166],"regularization":[167],"rather":[168],"than":[169],"unreliable":[170],"labels.":[172],"Experiments":[173],"image":[175],"real-world":[177],"benchmarks":[179],"different":[181],"shifts":[183],"demonstrate":[184],"achieves":[187],"robust":[188],"competitive":[190],"performance":[191],"across":[192],"diverse":[193],"transfer":[195],"settings.":[196]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-03T00:00:00"}
