{"id":"https://openalex.org/W7131378497","doi":"https://doi.org/10.48550/arxiv.2602.21099","title":"Turning Semantics into Topology: LLM-Driven Attribute Augmentation for Collaborative Filtering","display_name":"Turning Semantics into Topology: LLM-Driven Attribute Augmentation for Collaborative Filtering","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131378497","doi":"https://doi.org/10.48550/arxiv.2602.21099"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.21099","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126850041","display_name":"Junjie Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Meng, Junjie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126795854","display_name":"Ranxu zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"zhang, Ranxu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126810884","display_name":"Wei Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126805923","display_name":"Rui Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Rui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126841047","display_name":"Chuan Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Chuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126828898","display_name":"Qi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Qi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126802919","display_name":"Qi Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Qi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126808675","display_name":"Hui Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiong, Hui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126849800","display_name":"Chao Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Chao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5126850041"],"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":0.7958999872207642,"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":0.7958999872207642,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.10119999945163727,"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/T10028","display_name":"Topic Modeling","score":0.03060000017285347,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.6075999736785889},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5717999935150146},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.557200014591217},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5442000031471252},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.5300999879837036},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4832000136375427},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4537999927997589},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4487000107765198},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4302999973297119}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989000082015991},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6075999736785889},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5717999935150146},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.557200014591217},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5442000031471252},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5300999879837036},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4832000136375427},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4537999927997589},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4487000107765198},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4302999973297119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.413100004196167},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.3970000147819519},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.37540000677108765},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3562000095844269},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35510000586509705},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.325300008058548},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.2662999927997589},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2660999894142151},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26589998602867126},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.21099","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.21099","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.21099","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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.21099","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"shown":[5],"great":[6],"potential":[7],"for":[8,47],"enhancing":[9],"recommender":[10],"systems":[11],"through":[12],"their":[13],"extensive":[14],"world":[15],"knowledge":[16,82],"and":[17,105,163,178],"reasoning":[18],"capabilities.":[19],"However,":[20],"effectively":[21,127],"translating":[22],"these":[23,113],"semantic":[24,81],"signals":[25],"into":[26,38,83],"traditional":[27],"collaborative":[28,62],"embeddings":[29],"remains":[30],"an":[31,120],"open":[32],"challenge.":[33],"Existing":[34],"approaches":[35,88],"typically":[36],"fall":[37],"two":[39],"extremes:":[40],"direct":[41,95],"inference":[42],"methods":[43,52],"are":[44],"computationally":[45],"prohibitive":[46],"large-scale":[48],"retrieval,":[49],"while":[50],"embedding-based":[51],"primarily":[53],"focus":[54],"on":[55,91],"unilateral":[56],"feature":[57],"augmentation":[58],"rather":[59],"than":[60],"holistic":[61],"signal":[63],"enhancement.":[64],"To":[65],"bridge":[66],"this":[67,133],"gap,":[68],"we":[69,136],"propose":[70,137],"Topology-Augmented":[71],"Graph":[72,140],"Collaborative":[73],"Filtering":[74],"(TAGCF),":[75],"a":[76],"novel":[77],"framework":[78],"that":[79,89],"transforms":[80],"topological":[84],"connectivity.":[85],"Unlike":[86],"existing":[87],"depend":[90],"textual":[92],"features":[93],"or":[94],"interaction":[96,103],"synthesis,":[97],"TAGCF":[98],"employs":[99,144],"LLMs":[100],"to":[101,126,148],"infer":[102],"intents":[104],"underlying":[106],"causal":[107],"relationships":[108],"from":[109],"user-item":[110],"pairs,":[111],"representing":[112],"insights":[114],"as":[115],"intermediate":[116],"attribute":[117],"nodes":[118],"within":[119],"enriched":[121],"User-Attribute-Item":[122],"(U-A-I)":[123],"graph.":[124],"Furthermore,":[125],"model":[128],"the":[129,151,176,198],"heterogeneous":[130],"relations":[131],"in":[132],"augmented":[134],"structure,":[135],"Adaptive":[138],"Relation-weighted":[139],"Convolution":[141],"(ARGC),":[142],"which":[143],"relation-specific":[145],"prediction":[146],"networks":[147],"dynamically":[149],"estimate":[150],"importance":[152],"of":[153,180],"each":[154],"relation":[155],"type.":[156],"Extensive":[157],"experiments":[158],"across":[159],"multiple":[160],"benchmark":[161],"datasets":[162],"CF":[164],"backbones":[165],"demonstrate":[166],"consistent":[167],"improvements,":[168],"with":[169],"comprehensive":[170],"evaluations":[171],"including":[172],"cold-start":[173],"scenarios":[174],"validating":[175],"effectiveness":[177],"robustness":[179],"our":[181,193],"framework.":[182],"All":[183],"code":[184,194],"will":[185],"be":[186],"made":[187],"publicly":[188],"available.":[189],"For":[190],"anonymous":[191,200],"review,":[192],"is":[195],"available":[196],"at":[197],"following":[199],"link:":[201],"https://anonymous.4open.science/r/AGCF-2441353190/.":[202]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-26T00:00:00"}