{"id":"https://openalex.org/W4407953271","doi":"https://doi.org/10.1145/3701551.3703536","title":"LightGNN: Simple Graph Neural Network for Recommendation","display_name":"LightGNN: Simple Graph Neural Network for Recommendation","publication_year":2025,"publication_date":"2025-02-26","ids":{"openalex":"https://openalex.org/W4407953271","doi":"https://doi.org/10.1145/3701551.3703536"},"language":"en","primary_location":{"id":"doi:10.1145/3701551.3703536","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701551.3703536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining","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/A5012885148","display_name":"Guoxuan Chen","orcid":"https://orcid.org/0009-0006-5988-923X"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Guoxuan Chen","raw_affiliation_strings":["University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019844880","display_name":"Lianghao Xia","orcid":"https://orcid.org/0000-0003-0725-2211"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lianghao Xia","raw_affiliation_strings":["University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091518548","display_name":"Chao Huang","orcid":"https://orcid.org/0009-0003-3740-4500"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chao Huang","raw_affiliation_strings":["University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012885148"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":26.0064,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.99344506,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"549","last_page":"558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.991100013256073,"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":0.7448499202728271},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.6271875500679016},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4987218379974365},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4838029742240906},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34978583455085754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33893582224845886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7448499202728271},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.6271875500679016},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4987218379974365},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4838029742240906},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34978583455085754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33893582224845886},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3701551.3703536","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701551.3703536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/355856","is_oa":false,"landing_page_url":"https://hub.hku.hk/handle/10722/355856","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W569478347","https://openalex.org/W1720514416","https://openalex.org/W2054141820","https://openalex.org/W2100235918","https://openalex.org/W2605350416","https://openalex.org/W2626914210","https://openalex.org/W2739273093","https://openalex.org/W2805003733","https://openalex.org/W2807021761","https://openalex.org/W2808847742","https://openalex.org/W2945827670","https://openalex.org/W2966750432","https://openalex.org/W2998431760","https://openalex.org/W2998496395","https://openalex.org/W3004578093","https://openalex.org/W3012871709","https://openalex.org/W3033630125","https://openalex.org/W3044311607","https://openalex.org/W3094605801","https://openalex.org/W3129197243","https://openalex.org/W3207031492","https://openalex.org/W3208338073","https://openalex.org/W4220909642","https://openalex.org/W4224926669","https://openalex.org/W4224983022","https://openalex.org/W4226183797","https://openalex.org/W4283702870","https://openalex.org/W4294299221","https://openalex.org/W4310416255","https://openalex.org/W4320472540","https://openalex.org/W4327525152","https://openalex.org/W4327671700","https://openalex.org/W4384644330","https://openalex.org/W4384644538","https://openalex.org/W4385567536","https://openalex.org/W6675061135","https://openalex.org/W6684173853"],"related_works":["https://openalex.org/W1585007175","https://openalex.org/W2382521049","https://openalex.org/W2144385241","https://openalex.org/W4300101996","https://openalex.org/W2165950148","https://openalex.org/W4253593777","https://openalex.org/W2951497643","https://openalex.org/W4403053866","https://openalex.org/W2142393343","https://openalex.org/W2338854850"],"abstract_inverted_index":{"Graph":[0],"neural":[1],"networks":[2],"(GNNs)":[3],"have":[4],"demonstrated":[5],"superior":[6],"performance":[7,151],"in":[8,34,114,140,146],"collaborative":[9],"recommendation":[10,132],"through":[11],"their":[12],"ability":[13],"to":[14,59,110,153],"conduct":[15],"high-order":[16],"representation":[17],"smoothing,":[18],"effectively":[19],"capturing":[20],"structural":[21],"information":[22],"within":[23],"users'":[24],"interaction":[25],"patterns.":[26],"However,":[27],"existing":[28],"GNN":[29,55],"paradigms":[30],"face":[31],"significant":[32],"challenges":[33],"scalability":[35],"and":[36,53,82,86,131,143],"robustness":[37],"when":[38],"handling":[39],"large-scale,":[40],"noisy":[41],"real-world":[42],"datasets.":[43],"To":[44],"address":[45],"these":[46],"challenges,":[47],"we":[48],"present":[49],"LightGNN,":[50],"a":[51,74,97],"lightweight":[52],"distillation-based":[54],"pruning":[56,77],"framework":[57,72,93],"designed":[58],"substantially":[60],"reduce":[61],"model":[62,90,163],"complexity":[63],"while":[64,149],"preserving":[65],"essential":[66],"collaboration":[67],"modeling":[68],"capabilities.":[69],"Our":[70],"LightGNN":[71,135,162],"introduces":[73],"computationally":[75],"efficient":[76],"module":[78],"that":[79],"adaptively":[80],"identifies":[81],"removes":[83],"adverse":[84],"edges":[85],"embedding":[87,147],"entries":[88,148],"for":[89],"compression.":[91],"The":[92,158],"is":[94,164],"guided":[95],"by":[96],"resource-friendly":[98],"hierarchical":[99],"knowledge":[100],"distillation":[101],"objective,":[102],"whose":[103],"intermediate":[104],"layer":[105],"augments":[106],"the":[107,167],"observed":[108],"graph":[109],"maintain":[111],"performance,":[112],"particularly":[113],"high-rate":[115],"compression":[116],"scenarios.":[117],"Extensive":[118],"experiments":[119],"on":[120],"public":[121],"datasets":[122],"demonstrate":[123],"LightGNN's":[124],"effectiveness,":[125],"significantly":[126],"improving":[127],"both":[128],"computational":[129],"efficiency":[130],"accuracy.":[133],"Notably,":[134],"achieves":[136],"an":[137],"80%":[138],"reduction":[139,145],"edge":[141],"count":[142],"90%":[144],"maintaining":[150],"comparable":[152],"more":[154],"complex":[155],"state-of-the-art":[156],"baselines.":[157],"implementation":[159],"of":[160],"our":[161],"available":[165],"at":[166],"github":[168],"repository:":[169],"https://github.com/HKUDS/LightGNN.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}