{"id":"https://openalex.org/W4408354100","doi":"https://doi.org/10.1109/icassp49660.2025.10888759","title":"When Sparse Graph Representation Learning Falls into Domain Shift: Feature Augmentation for Cross-Domain Graph Meta-Learning","display_name":"When Sparse Graph Representation Learning Falls into Domain Shift: Feature Augmentation for Cross-Domain Graph Meta-Learning","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354100","doi":"https://doi.org/10.1109/icassp49660.2025.10888759"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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/A5101323135","display_name":"Simin Niu","orcid":"https://orcid.org/0009-0009-1862-8959"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Simin Niu","raw_affiliation_strings":["Renmin University of China,School of Information,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020649203","display_name":"Xun Liang","orcid":"https://orcid.org/0000-0002-3431-5954"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Liang","raw_affiliation_strings":["Renmin University of China,School of Information,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029633525","display_name":"Sensen Zhang","orcid":"https://orcid.org/0000-0001-8827-3959"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sensen Zhang","raw_affiliation_strings":["Renmin University of China,School of Information,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113013369","display_name":"Zhiyu Li","orcid":"https://orcid.org/0009-0002-8787-8192"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiyu Li","raw_affiliation_strings":["Institute for Advanced Algorithms Research,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Institute for Advanced Algorithms Research,Shanghai,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101840713","display_name":"Xuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Zhang","raw_affiliation_strings":["Peking University,Guanghua School of Management,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University,Guanghua School of Management,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100771313","display_name":"Bo Wu","orcid":"https://orcid.org/0000-0002-7386-8279"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Bo","raw_affiliation_strings":["Central South University,Xiangjiang Laboratory,Hunan,China"],"affiliations":[{"raw_affiliation_string":"Central South University,Xiangjiang Laboratory,Hunan,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713368","display_name":"Hanyu Wang","orcid":"https://orcid.org/0000-0002-9162-9730"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyu Wang","raw_affiliation_strings":["Renmin University of China,School of Information,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102747119","display_name":"Shichao Song","orcid":"https://orcid.org/0009-0005-4575-9592"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Song","raw_affiliation_strings":["Renmin University of China,School of Information,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101678387","display_name":"Mengwei Wang","orcid":"https://orcid.org/0009-0001-6370-9266"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengwei Wang","raw_affiliation_strings":["Renmin University of China,School of Information,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113528899","display_name":"Jiawei Yang","orcid":"https://orcid.org/0009-0002-1338-1474"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Yang","raw_affiliation_strings":["Renmin University of China,School of Information,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information,Beijing,China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5101323135"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01908673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9925000071525574,"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":0.9925000071525574,"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":0.9757000207901001,"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":0.9469000101089478,"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/computer-science","display_name":"Computer science","score":0.6962883472442627},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5852071642875671},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5809096097946167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4371539354324341},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3221818506717682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6962883472442627},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5852071642875671},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5809096097946167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4371539354324341},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3221818506717682}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":29,"referenced_works":["https://openalex.org/W2604314403","https://openalex.org/W2743104969","https://openalex.org/W2758375579","https://openalex.org/W2898085636","https://openalex.org/W2962756421","https://openalex.org/W2964105864","https://openalex.org/W2984323660","https://openalex.org/W3093957844","https://openalex.org/W3094624443","https://openalex.org/W3096541549","https://openalex.org/W3108202858","https://openalex.org/W4200476090","https://openalex.org/W4281558957","https://openalex.org/W4283645071","https://openalex.org/W4283821931","https://openalex.org/W4284672876","https://openalex.org/W4290875296","https://openalex.org/W4385245566","https://openalex.org/W6640963894","https://openalex.org/W6717697761","https://openalex.org/W6726873649","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6758853722","https://openalex.org/W6765465941","https://openalex.org/W6772329248","https://openalex.org/W6776331362","https://openalex.org/W6779490673","https://openalex.org/W6792104944"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W4386136067","https://openalex.org/W4286858940"],"abstract_inverted_index":{"Graph":[0,59,65],"Meta-learning":[1,60,66],"methods":[2],"have":[3],"improved":[4],"the":[5,17,32,103,121,126,129,139],"performance":[6],"of":[7,13,69],"few-shot":[8],"node":[9,84,89,105,113],"classification":[10],"by":[11],"means":[12],"applying":[14],"meta-learning":[15],"to":[16,81,110,124],"data":[18],"in":[19,36,128],"non-Euclidean":[20],"domains.":[21,131],"However,":[22],"most":[23],"works":[24],"focus":[25],"on":[26],"adopting":[27],"a":[28,57],"single":[29],"domain,":[30],"ignoring":[31],"fact":[33],"that":[34,67,79,101,134],"tasks":[35],"various":[37,88],"domains":[38],"may":[39],"be":[40],"distinct,":[41],"which":[42],"can":[43],"cause":[44],"overfitting":[45],"problems":[46],"and":[47,86,107],"thus":[48],"limit":[49],"generalizability.":[50],"To":[51],"tackle":[52],"this":[53],"challenge,":[54],"we":[55,119],"propose":[56],"novel":[58],"framework":[61],"called":[62],"Feature-Enhanced":[63],"Cross-domain":[64],"consists":[68],"two":[70],"crucial":[71],"modules:":[72],"1)":[73],"A":[74,96],"feature":[75,90],"information":[76,109],"extraction":[77],"module":[78,100],"aims":[80],"capture":[82],"discriminative":[83],"importance":[85],"simulate":[87],"distributions":[91],"under":[92],"distinct":[93],"domains;":[94],"2)":[95],"heterogeneous":[97],"graph":[98],"encoder":[99],"leverages":[102],"enhanced":[104],"features":[106],"topological":[108],"generate":[111],"task-specific":[112],"embeddings":[114],"with":[115],"simple":[116],"fine-tuning.":[117],"Moreover,":[118],"meta-learn":[120],"parameters":[122],"involved":[123],"ensure":[125],"generalizability":[127],"unseen":[130],"Results":[132],"show":[133],"our":[135],"method":[136],"markedly":[137],"outperforms":[138],"existing":[140],"state-of-the-art":[141],"methods.":[142]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
