{"id":"https://openalex.org/W3127612723","doi":"https://doi.org/10.1145/3442381.3449899","title":"Mask-GVAE: Blind Denoising Graphs via Partition","display_name":"Mask-GVAE: Blind Denoising Graphs via Partition","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3127612723","doi":"https://doi.org/10.1145/3442381.3449899","mag":"3127612723"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449899","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449899","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 Web Conference 2021","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3449899","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100783533","display_name":"Jia Li","orcid":"https://orcid.org/0000-0003-3443-4651"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Li","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057198814","display_name":"Mengzhou Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengzhou Liu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671939","display_name":"Honglei Zhang","orcid":"https://orcid.org/0000-0002-8229-852X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Honglei Zhang","raw_affiliation_strings":["Tianjin Univerisity, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Univerisity, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068055129","display_name":"Pengyun Wang","orcid":"https://orcid.org/0000-0001-8410-8390"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyun Wang","raw_affiliation_strings":["Huawei Noah's Ark Lab, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104056538","display_name":"Yong Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wen","raw_affiliation_strings":["Huawei Noah's Ark Lab, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009221204","display_name":"Lujia Pan","orcid":"https://orcid.org/0000-0002-8988-4740"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lujia Pan","raw_affiliation_strings":["Huawei Noah's Ark Lab, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101984697","display_name":"Hong Cheng","orcid":"https://orcid.org/0000-0002-4673-2587"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Cheng","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100783533"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.4844,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.63365968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3688","last_page":"3698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9836000204086304,"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"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9836000204086304,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.982699990272522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5957183241844177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5613270401954651},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5586729049682617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3216326832771301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2751295566558838},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.182032972574234}],"concepts":[{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5957183241844177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5613270401954651},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5586729049682617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3216326832771301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2751295566558838},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.182032972574234}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3442381.3449899","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449899","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 Web Conference 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2102.04228","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.04228","pdf_url":"https://arxiv.org/pdf/2102.04228","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-158800","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-158800","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":{"id":"doi:10.1145/3442381.3449899","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449899","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 Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":100,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1482568066","https://openalex.org/W1991157445","https://openalex.org/W1999478155","https://openalex.org/W2000687288","https://openalex.org/W2008857988","https://openalex.org/W2015208937","https://openalex.org/W2016926874","https://openalex.org/W2028513945","https://openalex.org/W2037933327","https://openalex.org/W2039592987","https://openalex.org/W2092750499","https://openalex.org/W2110620844","https://openalex.org/W2120295426","https://openalex.org/W2121947440","https://openalex.org/W2132914434","https://openalex.org/W2136088806","https://openalex.org/W2140000690","https://openalex.org/W2142498761","https://openalex.org/W2146407935","https://openalex.org/W2151936673","https://openalex.org/W2153959628","https://openalex.org/W2158954093","https://openalex.org/W2165515835","https://openalex.org/W2177899970","https://openalex.org/W2242161203","https://openalex.org/W2519887557","https://openalex.org/W2547188984","https://openalex.org/W2547875792","https://openalex.org/W2560592986","https://openalex.org/W2560674852","https://openalex.org/W2571662414","https://openalex.org/W2587284713","https://openalex.org/W2592725663","https://openalex.org/W2593390416","https://openalex.org/W2648734036","https://openalex.org/W2767849480","https://openalex.org/W2781711557","https://openalex.org/W2788512147","https://openalex.org/W2803526748","https://openalex.org/W2803831897","https://openalex.org/W2808611867","https://openalex.org/W2898221481","https://openalex.org/W2911634294","https://openalex.org/W2913015533","https://openalex.org/W2916106175","https://openalex.org/W2920703887","https://openalex.org/W2929205018","https://openalex.org/W2944250323","https://openalex.org/W2945827377","https://openalex.org/W2950048339","https://openalex.org/W2951004968","https://openalex.org/W2951715301","https://openalex.org/W2952332632","https://openalex.org/W2962756421","https://openalex.org/W2963026027","https://openalex.org/W2963037546","https://openalex.org/W2963094681","https://openalex.org/W2963265099","https://openalex.org/W2963501406","https://openalex.org/W2963676163","https://openalex.org/W2963725279","https://openalex.org/W2963757395","https://openalex.org/W2964012239","https://openalex.org/W2964015378","https://openalex.org/W2964198013","https://openalex.org/W2964275228","https://openalex.org/W2964394077","https://openalex.org/W2965344674","https://openalex.org/W2966149470","https://openalex.org/W2967023393","https://openalex.org/W2989693227","https://openalex.org/W2997738974","https://openalex.org/W2999817249","https://openalex.org/W3002259362","https://openalex.org/W3005333178","https://openalex.org/W3012737746","https://openalex.org/W3080913582","https://openalex.org/W3089140681","https://openalex.org/W3092329649","https://openalex.org/W3098276446","https://openalex.org/W3100188304","https://openalex.org/W3100270690","https://openalex.org/W3101553402","https://openalex.org/W3101871847","https://openalex.org/W3102467995","https://openalex.org/W3105255771","https://openalex.org/W3125709657","https://openalex.org/W3159332271","https://openalex.org/W4232932184","https://openalex.org/W4252435334","https://openalex.org/W4287995811","https://openalex.org/W4289436753","https://openalex.org/W4297162533","https://openalex.org/W4297571622","https://openalex.org/W4298845698","https://openalex.org/W4322614756","https://openalex.org/W4385807500","https://openalex.org/W4391602018","https://openalex.org/W6681029592"],"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":{"We":[0,26],"present":[1],"Mask-GVAE,":[2],"a":[3,55,94,98,108],"variational":[4,95],"generative":[5],"model":[6],"for":[7,47],"blind":[8],"denoising":[9],"large":[10],"discrete":[11],"graphs,":[12],"in":[13,44,54,64,93],"which":[14,40],"\u201dblind":[15],"denoising\u201d":[16],"means":[17],"we":[18],"don\u2019t":[19],"require":[20],"any":[21],"supervision":[22],"from":[23],"clean":[24],"graphs.":[25],"focus":[27],"on":[28,111],"recovering":[29],"graph":[30,68,77],"structures":[31],"via":[32],"deleting":[33],"irrelevant":[34],"edges":[35],"and":[36,73,113],"adding":[37],"missing":[38],"edges,":[39],"has":[41],"many":[42],"applications":[43],"real-world":[45],"scenarios,":[46],"example,":[48],"enhancing":[49],"the":[50,62,75,85],"quality":[51],"of":[52,61,67,101],"connections":[53],"co-authorship":[56],"network.":[57],"Mask-GVAE":[58,103],"makes":[59],"use":[60],"robustness":[63],"low":[65],"eigenvectors":[66],"Laplacian":[69],"against":[70],"random":[71],"noise":[72],"decomposes":[74],"input":[76],"into":[78],"several":[79],"stable":[80],"clusters.":[81],"It":[82],"then":[83],"harnesses":[84],"huge":[86],"computations":[87],"by":[88,107],"decoding":[89],"probabilistic":[90],"smoothed":[91],"subgraphs":[92],"manner.":[96],"On":[97],"wide":[99],"variety":[100],"benchmarks,":[102],"outperforms":[104],"competing":[105],"approaches":[106],"significant":[109],"margin":[110],"PSNR":[112],"WL":[114],"similarity.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-06-07T00:00:00"}
