{"id":"https://openalex.org/W4407953539","doi":"https://doi.org/10.1145/3701551.3703590","title":"DiffGraph: Heterogeneous Graph Diffusion Model","display_name":"DiffGraph: Heterogeneous Graph Diffusion Model","publication_year":2025,"publication_date":"2025-02-26","ids":{"openalex":"https://openalex.org/W4407953539","doi":"https://doi.org/10.1145/3701551.3703590"},"language":"en","primary_location":{"id":"doi:10.1145/3701551.3703590","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701551.3703590","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/A5104436931","display_name":"Zongwei Li","orcid":"https://orcid.org/0009-0000-3112-1268"},"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":"Zongwei Li","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":"middle","author":{"id":"https://openalex.org/A5103185155","display_name":"Hua Hua","orcid":"https://orcid.org/0000-0003-4942-5395"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Hua","raw_affiliation_strings":["Tencent, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076549491","display_name":"Shijie Zhang","orcid":"https://orcid.org/0000-0003-3226-6842"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shijie Zhang","raw_affiliation_strings":["Guangdong Engineering Center for Social Computing and Mental Health, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Engineering Center for Social Computing and Mental Health, Shenzhen, Guangdong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052324447","display_name":"Shuangyang Wang","orcid":"https://orcid.org/0000-0002-6180-8607"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangyang Wang","raw_affiliation_strings":["Tencent, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"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":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5104436931"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":22.8794,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.99230394,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"40","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5890735983848572},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.49599990248680115},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4542574882507324},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27774113416671753},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10522535443305969},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.059540629386901855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5890735983848572},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.49599990248680115},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4542574882507324},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27774113416671753},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10522535443305969},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.059540629386901855}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3701551.3703590","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701551.3703590","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:10722/355857","is_oa":false,"landing_page_url":"https://hub.hku.hk/handle/10722/355857","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":[{"score":0.4099999964237213,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W569478347","https://openalex.org/W1902237438","https://openalex.org/W2128678576","https://openalex.org/W2140310134","https://openalex.org/W2519887557","https://openalex.org/W2593390416","https://openalex.org/W2619206542","https://openalex.org/W2624431344","https://openalex.org/W2743104969","https://openalex.org/W2745560456","https://openalex.org/W2775589622","https://openalex.org/W2807021761","https://openalex.org/W2809418595","https://openalex.org/W2911286998","https://openalex.org/W2914721378","https://openalex.org/W2916047525","https://openalex.org/W2945827670","https://openalex.org/W2951369132","https://openalex.org/W2951626319","https://openalex.org/W2965857891","https://openalex.org/W2966145721","https://openalex.org/W2970127247","https://openalex.org/W2970709315","https://openalex.org/W2997035976","https://openalex.org/W2997686727","https://openalex.org/W2998496395","https://openalex.org/W3004507689","https://openalex.org/W3012871709","https://openalex.org/W3034781633","https://openalex.org/W3035287707","https://openalex.org/W3035298482","https://openalex.org/W3035669589","https://openalex.org/W3045200674","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3101023724","https://openalex.org/W3103513278","https://openalex.org/W3117562715","https://openalex.org/W3123823653","https://openalex.org/W3162673269","https://openalex.org/W3164410012","https://openalex.org/W3172710079","https://openalex.org/W3181640983","https://openalex.org/W3196261868","https://openalex.org/W4285428788","https://openalex.org/W4322614756","https://openalex.org/W4382317738","https://openalex.org/W4384644330","https://openalex.org/W4401857173","https://openalex.org/W4403577793","https://openalex.org/W6678161781","https://openalex.org/W6678485558","https://openalex.org/W6730084236","https://openalex.org/W6745537798","https://openalex.org/W6755573351","https://openalex.org/W6772452955","https://openalex.org/W6779823529","https://openalex.org/W6784694379","https://openalex.org/W6842465419"],"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":{"Recent":[0],"advances":[1],"in":[2,21,26,161,175],"Graph":[3,68],"Neural":[4],"Networks":[5],"(GNNs)":[6],"have":[7],"revolutionized":[8],"graph-structured":[9],"data":[10,35,88],"modeling,":[11],"yet":[12],"traditional":[13],"GNNs":[14],"struggle":[15],"with":[16],"complex":[17],"heterogeneous":[18,28,53,87,107,127,176],"structures":[19],"prevalent":[20],"real-world":[22],"scenarios.":[23],"Despite":[24],"progress":[25],"handling":[27],"interactions,":[29],"two":[30],"fundamental":[31,62],"challenges":[32],"persist:":[33],"noisy":[34],"significantly":[36,134],"compromising":[37],"embedding":[38],"quality":[39],"and":[40,43,115,130,150,164,173],"learning":[41],"performance,":[42],"existing":[44,159],"methods'":[45],"inability":[46],"to":[47],"capture":[48],"intricate":[49],"semantic":[50,91],"transitions":[51],"among":[52],"relations,":[54],"which":[55],"impacts":[56],"downstream":[57],"predictions.":[58],"To":[59],"address":[60],"these":[61],"issues,":[63],"we":[64,153],"present":[65],"the":[66],"Heterogeneous":[67],"Diffusion":[69],"Model":[70],"(DiffGraph),":[71],"a":[72,104,112],"pioneering":[73],"framework":[74],"that":[75,155],"introduces":[76],"an":[77],"innovative":[78],"cross-view":[79],"denoising":[80,129],"strategy.":[81],"This":[82,123],"advanced":[83],"approach":[84],"transforms":[85],"auxiliary":[86],"into":[89],"target":[90],"spaces,":[92],"enabling":[93],"precise":[94],"distillation":[95],"of":[96],"task-relevant":[97],"information.":[98],"At":[99],"its":[100,139],"core,":[101],"DiffGraph":[102,156],"features":[103],"sophisticated":[105],"latent":[106],"graph":[108,128,136,177],"diffusion":[109,117,141],"mechanism,":[110],"implementing":[111],"novel":[113],"forward":[114],"backward":[116],"process":[118],"for":[119,171],"superior":[120],"noise":[121],"management.":[122],"methodology":[124],"achieves":[125],"simultaneous":[126],"cross-type":[131],"transition,":[132],"while":[133],"simplifying":[135],"generation":[137],"through":[138],"latent-space":[140],"capabilities.":[142],"Through":[143],"rigorous":[144],"experimental":[145],"validation":[146],"on":[147],"both":[148],"public":[149],"industrial":[151],"datasets,":[152],"demonstrate":[154],"consistently":[157],"surpasses":[158],"methods":[160],"link":[162],"prediction":[163],"node":[165],"classification":[166],"tasks,":[167],"establishing":[168],"new":[169],"benchmarks":[170],"robustness":[172],"efficiency":[174],"processing.":[178],"The":[179],"model":[180],"implementation":[181],"is":[182],"publicly":[183],"available":[184],"at:":[185],"https://github.com/HKUDS/DiffGraph.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
