{"id":"https://openalex.org/W4408352303","doi":"https://doi.org/10.1109/icassp49660.2025.10889462","title":"RETAIN: Reliable Topology Augmentation for both Heterophilic and Homophilic Graphs","display_name":"RETAIN: Reliable Topology Augmentation for both Heterophilic and Homophilic Graphs","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352303","doi":"https://doi.org/10.1109/icassp49660.2025.10889462"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889462","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":null,"display_name":"Ziyun Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziyun Zou","raw_affiliation_strings":["Xiamen University,Department of Computer Science and Technology,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Department of Computer Science and Technology,Xiamen,China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091431846","display_name":"Lian Shen","orcid":"https://orcid.org/0000-0003-3762-3829"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian Shen","raw_affiliation_strings":["Xiamen University,Department of Computer Science and Technology,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Department of Computer Science and Technology,Xiamen,China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101897468","display_name":"Yi Li","orcid":"https://orcid.org/0000-0001-7907-5176"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhao Li","raw_affiliation_strings":["Xiamen University,Department of Computer Science and Technology,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Department of Computer Science and Technology,Xiamen,China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103069440","display_name":"Yifan Lu","orcid":"https://orcid.org/0000-0001-9383-3965"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Lu","raw_affiliation_strings":["Hangzhou Dianzi University,Zhuoyue Honors College,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Zhuoyue Honors College,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361707","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0001-8859-5405"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Liu","raw_affiliation_strings":["Xiamen University,Pen-Tung Sah Institute of Micro-Nano Science and Technology,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Pen-Tung Sah Institute of Micro-Nano Science and Technology,Xiamen,China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026771763","display_name":"Xiangrong Liu","orcid":"https://orcid.org/0000-0001-9885-1978"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrong Liu","raw_affiliation_strings":["Xiamen University,Department of Computer Science and Technology,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Department of Computer Science and Technology,Xiamen,China","institution_ids":["https://openalex.org/I75867142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":3.5937,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.9082833,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9437999725341797,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9437999725341797,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9409000277519226,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9210000038146973,"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/computer-science","display_name":"Computer science","score":0.5385544896125793},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4688756465911865},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4477364122867584},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2797618508338928},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17019355297088623},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13921800255775452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5385544896125793},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4688756465911865},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4477364122867584},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2797618508338928},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17019355297088623},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13921800255775452}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889462","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":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2169384417","https://openalex.org/W2949676527","https://openalex.org/W2998496395","https://openalex.org/W3035739162","https://openalex.org/W3116637551","https://openalex.org/W3128443161","https://openalex.org/W3160872503","https://openalex.org/W4221155002","https://openalex.org/W4231449374","https://openalex.org/W4283817086","https://openalex.org/W4306317081","https://openalex.org/W4386804213","https://openalex.org/W4386804234","https://openalex.org/W6690026940","https://openalex.org/W6699364125","https://openalex.org/W6726873649","https://openalex.org/W6729448088","https://openalex.org/W6767288045","https://openalex.org/W6771621015","https://openalex.org/W6771932116","https://openalex.org/W6784998633","https://openalex.org/W6786048916","https://openalex.org/W6801081114","https://openalex.org/W6838543936"],"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/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Current":[0],"graph":[1,76,115,128,142],"topology":[2,143],"augmentation":[3,53,77,101],"methods":[4,50,181],"are":[5,19],"mostly":[6],"static":[7],"and":[8,62,134,145,160,186,200],"heavily":[9],"rely":[10],"on":[11,56,118,168],"the":[12,23,30,35,71,94,114,124,132,137],"assumption":[13,37],"of":[14,32,59,126,136,195],"homophily,":[15],"where":[16],"connected":[17],"nodes":[18],"presumed":[20],"to":[21,29,65],"share":[22],"same":[24],"labels":[25],"by":[26],"default.":[27],"Due":[28],"complexity":[31],"real-world":[33],"graphs,":[34],"underlying":[36],"is":[38],"often":[39],"disrupted,":[40],"thus":[41,130],"performance":[42,189],"declines,":[43],"demonstrating":[44],"their":[45],"limited":[46],"adaptability.":[47],"Although":[48],"learnable":[49],"flexibly":[51],"change":[52],"strategies":[54,78],"based":[55,117],"data,":[57],"ignorance":[58],"balancing":[60,131],"consistency":[61,133],"diversity":[63,135],"leads":[64],"suboptimal":[66],"performance.":[67],"This":[68,109],"gap":[69],"highlights":[70],"need":[72],"for":[73,103,197],"universally":[74],"applicable":[75],"that":[79,173],"ensure":[80],"these":[81,90],"two":[82],"aspects,":[83],"thereby":[84],"enhancing":[85],"model":[86,146,161],"robustness.":[87],"To":[88],"address":[89],"challenges,":[91],"we":[92],"propose":[93],"RETAIN":[95,153,174],"framework":[96],"as":[97,148],"an":[98],"adaptive":[99],"data":[100,159],"method":[102,110],"graphs":[104],"with":[105,123,179],"different":[106],"homophily":[107],"levels.":[108],"can":[111,175],"dynamically":[112],"adjust":[113],"structure":[116],"a":[119,127,149,183,192],"learned":[120],"conditional":[121],"distribution":[122],"aid":[125],"explainer,":[129],"augmented":[138,158],"data.":[139],"By":[140],"framing":[141],"modification":[144],"refinement":[147],"joint":[150],"optimization":[151],"problem,":[152],"facilitates":[154],"concurrent":[155],"learning":[156],"from":[157],"optimization.":[162],"Empirical":[163],"evaluations":[164],"across":[165,191],"diverse":[166,193],"benchmarks":[167,196],"node":[169],"classification":[170],"tasks":[171],"reveal":[172],"be":[176],"effectively":[177],"combined":[178],"other":[180],"in":[182],"plug-and-play":[184],"manner":[185],"consistently":[187],"yields":[188],"improvement":[190],"set":[194],"both":[198],"homophilic":[199],"heterophilic":[201],"graphs.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
