{"id":"https://openalex.org/W4416016583","doi":"https://doi.org/10.1145/3746252.3761346","title":"Local Structure-Adaptive Graph Filtering for Collaborative Filtering","display_name":"Local Structure-Adaptive Graph Filtering for Collaborative Filtering","publication_year":2025,"publication_date":"2025-11-08","ids":{"openalex":"https://openalex.org/W4416016583","doi":"https://doi.org/10.1145/3746252.3761346"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761346","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3761346","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 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3746252.3761346","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114337268","display_name":"Yijun Sheng","orcid":"https://orcid.org/0009-0009-8804-2697"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yijun Sheng","raw_affiliation_strings":["University of Macau, Macau SAR, Macao"],"raw_orcid":"https://orcid.org/0009-0009-8804-2697","affiliations":[{"raw_affiliation_string":"University of Macau, Macau SAR, Macao","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110303248","display_name":"Ximing Chen","orcid":"https://orcid.org/0009-0007-8356-6198"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Ximing Chen","raw_affiliation_strings":["University of Macau, Macau SAR, Macao"],"raw_orcid":"https://orcid.org/0009-0007-8356-6198","affiliations":[{"raw_affiliation_string":"University of Macau, Macau SAR, Macao","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030037078","display_name":"Yanyan Liu","orcid":"https://orcid.org/0009-0005-9762-4008"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yanyan Liu","raw_affiliation_strings":["University of Macau, Macau SAR, Macao"],"raw_orcid":"https://orcid.org/0009-0005-9762-4008","affiliations":[{"raw_affiliation_string":"University of Macau, Macau SAR, Macao","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114337267","display_name":"Pui Ieng Lei","orcid":"https://orcid.org/0009-0005-6771-4598"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Pui Ieng Lei","raw_affiliation_strings":["University of Macau, Macau SAR, Macao"],"raw_orcid":"https://orcid.org/0009-0005-6771-4598","affiliations":[{"raw_affiliation_string":"University of Macau, Macau SAR, Macao","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114153984","display_name":"Zhiguo Gong","orcid":"https://orcid.org/0009-0006-8149-9879"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Zhiguo Gong","raw_affiliation_strings":["University of Macau, Macau SAR, Macao"],"raw_orcid":"https://orcid.org/0009-0006-8149-9879","affiliations":[{"raw_affiliation_string":"University of Macau, Macau SAR, Macao","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204512498"],"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":"2610","last_page":"2620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.5113000273704529,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.5113000273704529,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.4390999972820282,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.004699999932199717,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.7275999784469604},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6225000023841858},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5327000021934509},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.517300009727478},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4957999885082245},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.37779998779296875}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7275999784469604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7092000246047974},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6225000023841858},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5327000021934509},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.517300009727478},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4957999885082245},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4571000039577484},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42320001125335693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38040000200271606},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.37779998779296875},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2822999954223633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27079999446868896},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.25949999690055847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761346","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3761346","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 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3746252.3761346","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746252.3761346","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 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1506690472","https://openalex.org/W2042281163","https://openalex.org/W2069870183","https://openalex.org/W2155106456","https://openalex.org/W2796431263","https://openalex.org/W2807021761","https://openalex.org/W2914721378","https://openalex.org/W2945827670","https://openalex.org/W3008003211","https://openalex.org/W3045200674","https://openalex.org/W3094605801","https://openalex.org/W3156861396","https://openalex.org/W3208338073","https://openalex.org/W3208747044","https://openalex.org/W3211143493","https://openalex.org/W4283790376","https://openalex.org/W4284680110","https://openalex.org/W4319452302","https://openalex.org/W4384636842","https://openalex.org/W4401863225","https://openalex.org/W4410636830"],"related_works":[],"abstract_inverted_index":{"The":[0],"structural":[1,82,105,166],"heterogeneity":[2],"of":[3,40],"user-item":[4,73],"interaction":[5],"graphs":[6],"poses":[7],"a":[8,56,65,141,169],"fundamental":[9],"challenge":[10],"for":[11,174],"graph-based":[12],"recommender":[13],"systems.":[14],"While":[15],"Graph":[16,60],"Convolutional":[17],"Networks":[18],"(GCNs)":[19],"have":[20],"achieved":[21],"remarkable":[22],"success":[23],"in":[24,47,95,162],"collaborative":[25],"filtering,":[26],"their":[27],"uniform":[28],"low-pass":[29],"filtering":[30,71],"nature":[31],"often":[32],"fails":[33],"to":[34],"accommodate":[35],"the":[36,92,138],"varying":[37],"spectral":[38,131],"needs":[39],"nodes":[41,78,102],"with":[42,103,164],"different":[43],"local":[44,81],"structures,":[45],"resulting":[46],"suboptimal":[48],"performance.":[49],"To":[50,120],"address":[51],"this":[52],"issue,":[53],"we":[54],"propose":[55],"Structurally":[57],"Sensitive":[58],"Adaptive":[59],"Filter,":[61],"dubbed":[62],"as":[63],"SSAGF,":[64],"novel":[66],"framework":[67],"that":[68,101,155],"enables":[69],"structure-aware":[70,175],"on":[72,80,150],"graphs.":[74],"SSAGF":[75,124,156],"first":[76],"clusters":[77],"based":[79],"properties,":[83],"then":[84],"learns":[85],"customized":[86],"filters":[87,132],"per":[88],"group":[89],"by":[90,129],"reinterpreting":[91],"convolutional":[93],"depth":[94],"GCNs.":[96],"This":[97],"adaptive":[98],"mechanism":[99],"ensures":[100],"distinct":[104],"roles":[106],"are":[107],"treated":[108],"appropriately,":[109],"enhancing":[110],"both":[111],"accuracy":[112],"and":[113,171],"fairness":[114],"without":[115],"significantly":[116],"increasing":[117],"model":[118],"complexity.":[119],"further":[121],"improve":[122],"scalability,":[123],"avoids":[125],"costly":[126],"eigenvalue":[127],"decompositions":[128],"approximating":[130],"through":[133],"Maclaurin":[134],"series":[135],"expansion,":[136],"transforming":[137],"convolution":[139],"into":[140],"pooling-like":[142],"operation":[143],"over":[144],"standard":[145],"GCN":[146],"outputs.":[147],"Extensive":[148],"experiments":[149],"four":[151],"benchmark":[152],"datasets":[153],"demonstrate":[154],"consistently":[157],"outperforms":[158],"competitive":[159],"baselines,":[160],"especially":[161],"scenarios":[163],"high":[165],"heterogeneity,":[167],"offering":[168],"principled":[170],"efficient":[172],"solution":[173],"recommendation.":[176]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-08T00:00:00"}