{"id":"https://openalex.org/W4401857082","doi":"https://doi.org/10.1145/3637528.3671870","title":"Bridging and Compressing Feature and Semantic Spaces for Robust Graph Neural Networks: An Information Theory Perspective","display_name":"Bridging and Compressing Feature and Semantic Spaces for Robust Graph Neural Networks: An Information Theory Perspective","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401857082","doi":"https://doi.org/10.1145/3637528.3671870"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671870","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671870","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/A5068046629","display_name":"Luying Zhong","orcid":"https://orcid.org/0009-0007-9960-5382"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luying Zhong","raw_affiliation_strings":["Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051806177","display_name":"Renjie Lin","orcid":"https://orcid.org/0000-0002-9763-5269"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renjie Lin","raw_affiliation_strings":["Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100775744","display_name":"Jiayin Li","orcid":"https://orcid.org/0000-0003-4798-082X"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayin Li","raw_affiliation_strings":["Fujian Normal University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604225","display_name":"Shiping Wang","orcid":"https://orcid.org/0000-0001-5195-9682"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiping Wang","raw_affiliation_strings":["Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004385468","display_name":"Zheyi Chen","orcid":"https://orcid.org/0000-0002-6349-068X"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheyi Chen","raw_affiliation_strings":["Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068046629"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":1.0425,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80647719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4571","last_page":"4582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9957000017166138,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.7327864170074463},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.7308415770530701},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5305094122886658},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4937048852443695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4691919982433319},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.439832866191864},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4257686734199524},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36673325300216675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1654689908027649},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06624364852905273},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06444603204727173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7327864170074463},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.7308415770530701},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5305094122886658},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4937048852443695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4691919982433319},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.439832866191864},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4257686734199524},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36673325300216675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1654689908027649},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06624364852905273},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06444603204727173},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637528.3671870","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671870","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2776622059","https://openalex.org/W2949208225","https://openalex.org/W2964184826","https://openalex.org/W2964583308","https://openalex.org/W2998122931","https://openalex.org/W3035298482","https://openalex.org/W3035541121","https://openalex.org/W3039075121","https://openalex.org/W3081203761","https://openalex.org/W3100993589","https://openalex.org/W3112278336","https://openalex.org/W3116239416","https://openalex.org/W3153361501","https://openalex.org/W3172854437","https://openalex.org/W3201301914","https://openalex.org/W3203511368","https://openalex.org/W4221143762","https://openalex.org/W4225977739","https://openalex.org/W4290945215","https://openalex.org/W4321276816","https://openalex.org/W4323914306","https://openalex.org/W4384161695","https://openalex.org/W4385567899","https://openalex.org/W4386076627","https://openalex.org/W4387717670","https://openalex.org/W4388430454"],"related_works":["https://openalex.org/W4388870064","https://openalex.org/W2210139803","https://openalex.org/W4235186151","https://openalex.org/W2054685365","https://openalex.org/W2056057048","https://openalex.org/W4385627933","https://openalex.org/W2532801570","https://openalex.org/W2480127678","https://openalex.org/W2806270048","https://openalex.org/W4310605282"],"abstract_inverted_index":{"The":[0],"emerging":[1],"Graph":[2],"Convolutional":[3],"Networks":[4],"(GCNs)":[5],"have":[6],"attracted":[7],"widespread":[8],"attention":[9],"in":[10,68,117],"graph":[11,27,53,90,184],"learning,":[12],"due":[13],"to":[14,39,86,133,199],"their":[15],"good":[16],"ability":[17],"of":[18,52,95,142,179,191,213],"aggregating":[19],"the":[20,42,50,60,88,93,96,105,140,177,189,201,211,214],"information":[21,99,144,193],"between":[22,45,63,145,194,203],"higher-order":[23],"neighbors.":[24],"However,":[25],"real-world":[26,206],"data":[28],"contains":[29],"high":[30],"noise":[31],"and":[32,65,110,136,164,196],"redundancy,":[33],"making":[34],"it":[35],"hard":[36],"for":[37,107,124],"GCNs":[38],"accurately":[40],"depict":[41],"complete":[43],"relationships":[44],"nodes,":[46],"which":[47,217],"seriously":[48],"degrades":[49],"quality":[51],"representations.":[54,169],"Moreover,":[55],"existing":[56,149],"studies":[57],"commonly":[58],"ignore":[59],"distribution":[61,108],"difference":[62,202],"feature":[64,135,195],"semantic":[66,137,197],"spaces":[67,119,198],"graphs,":[69],"causing":[70],"inferior":[71],"model":[72],"generalization.":[73],"To":[74],"address":[75],"these":[76],"challenges,":[77],"we":[78,103,128,158,187],"propose":[79],"DIB-RGCN,":[80,216],"a":[81,154],"novel":[82],"robust":[83],"GCN":[84],"framework,":[85],"explore":[87],"optimal":[89,122],"representation":[91],"with":[92,166],"guidance":[94],"well-designed":[97],"dual":[98,131],"bottleneck":[100],"principle.":[101],"First,":[102],"analyze":[104],"reasons":[106],"differences":[109],"theoretically":[111],"prove":[112],"that":[113,152],"minimal":[114],"sufficient":[115],"representations":[116,181],"specific":[118],"cannot":[120],"promise":[121],"performance":[123],"downstream":[125],"tasks.":[126,223],"Next,":[127],"design":[129,171],"new":[130],"channels":[132],"regularize":[134],"spaces,":[138],"eliminating":[139],"sharing":[141,190],"task-irrelevant":[143],"spaces.":[146],"Different":[147],"from":[148],"denoising":[150],"algorithms":[151],"adopt":[153],"random":[155],"dropping":[156],"manner,":[157],"innovatively":[159],"replace":[160],"potential":[161],"noisy":[162],"features":[163],"edges":[165],"local":[167],"neighboring":[168],"This":[170],"lowers":[172],"edge-specific":[173],"coefficient":[174],"assignment,":[175],"alleviating":[176],"interference":[178],"original":[180],"while":[182],"retaining":[183],"structures.":[185],"Further,":[186],"maximize":[188],"task-relevant":[192],"alleviate":[200],"them.":[204],"Using":[205],"datasets,":[207],"extensive":[208],"experiments":[209],"demonstrate":[210],"robustness":[212],"proposed":[215],"outperforms":[218],"state-of-the-art":[219],"methods":[220],"on":[221],"classification":[222]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}