{"id":"https://openalex.org/W4401863517","doi":"https://doi.org/10.1145/3637528.3671769","title":"SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph","display_name":"SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401863517","doi":"https://doi.org/10.1145/3637528.3671769"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery 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/A5069119208","display_name":"Ran Li","orcid":"https://orcid.org/0000-0003-4463-4091"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Ran Li","raw_affiliation_strings":["HKUST, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"HKUST, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006260400","display_name":"Shimin Di","orcid":"https://orcid.org/0000-0002-7394-0082"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shimin Di","raw_affiliation_strings":["HKUST, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"HKUST, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333516","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["HKUST(GZ) & HKUST, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"HKUST(GZ) & HKUST, Guangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011384237","display_name":"Xiaofang Zhou","orcid":"https://orcid.org/0000-0001-6343-1455"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaofang Zhou","raw_affiliation_strings":["HKUST, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"HKUST, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069119208"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":1.3627,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.840362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1631","last_page":"1642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9984999895095825,"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/T11719","display_name":"Data Quality and Management","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6924200057983398},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6897521018981934},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6081302762031555},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5161827206611633},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4976241886615753},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4710554778575897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3968876302242279},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3325396180152893},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2781890034675598},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08477184176445007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6924200057983398},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6897521018981934},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6081302762031555},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5161827206611633},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4976241886615753},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4710554778575897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3968876302242279},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3325396180152893},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2781890034675598},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08477184176445007},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3637528.3671769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-143626","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-143626","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1980867644","https://openalex.org/W2094728533","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2808284704","https://openalex.org/W2945623882","https://openalex.org/W2950275995","https://openalex.org/W2963201472","https://openalex.org/W2966055354","https://openalex.org/W2970921796","https://openalex.org/W2997062749","https://openalex.org/W2998385486","https://openalex.org/W3001896264","https://openalex.org/W3046095786","https://openalex.org/W3075591326","https://openalex.org/W3089874281","https://openalex.org/W3101056714","https://openalex.org/W3105356032","https://openalex.org/W3151929433","https://openalex.org/W3154547779","https://openalex.org/W3156850293","https://openalex.org/W3171266048","https://openalex.org/W3207813134","https://openalex.org/W3208449220","https://openalex.org/W4281561077","https://openalex.org/W4290875677","https://openalex.org/W4367047402"],"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/W2142393343","https://openalex.org/W2338854850","https://openalex.org/W2184239527"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"address":[4],"the":[5,26,43,51,56,61,68,73,99,115,130],"challenges":[6],"of":[7,37,63,98,136],"data":[8,40,65,121],"augmentation":[9,124],"in":[10,46,55,83,89,102,138],"Multi-Modal":[11],"Knowledge":[12],"Graphs":[13],"(MMKGs),":[14],"a":[15,21,47,119],"relatively":[16],"under-explored":[17],"area.":[18],"We":[19,79],"propose":[20],"novel":[22],"diffusion-based":[23],"generative":[24],"model,":[25],"Simple":[27],"Denoising":[28],"Probabilistic":[29],"Latent":[30],"Diffusion":[31],"Model":[32],"(SimDiff).":[33],"SimDiff":[34],"is":[35,142],"capable":[36],"handling":[38],"different":[39],"modalities":[41],"including":[42],"graph":[44],"topology":[45],"unified":[48],"manner":[49],"by":[50,117],"same":[52],"diffusion":[53],"model":[54],"latent":[57],"space.":[58],"It":[59],"enhances":[60],"utilization":[62],"multi-modal":[64,69],"and":[66,71],"encourage":[67],"fusion":[70],"reduces":[72],"dependency":[74],"on":[75],"limited":[76],"training":[77],"data.":[78],"validate":[80],"our":[81,104],"method":[82,125],"downstream":[84],"Entity":[85],"Alignment":[86],"(EA)":[87],"tasks":[88],"MMKGs,":[90,127],"demonstrating":[91],"that":[92],"even":[93],"when":[94],"using":[95],"only":[96],"half":[97],"seed":[100],"entities":[101],"training,":[103],"methods":[105],"can":[106],"still":[107],"achieve":[108],"superior":[109],"performance.":[110],"This":[111],"work":[112],"contributes":[113],"to":[114],"field":[116],"providing":[118],"new":[120],"generation":[122],"or":[123],"for":[126,132],"potentially":[128],"paving":[129],"way":[131],"more":[133],"effective":[134],"use":[135],"MMKGs":[137],"various":[139],"applications.":[140],"Code":[141],"made":[143],"available":[144],"at":[145],"https://github.com/ranlislz/SimDiff.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}