{"id":"https://openalex.org/W4205437463","doi":"https://doi.org/10.1145/3469877.3495643","title":"Adaptive Cross-stitch Graph Convolutional Networks","display_name":"Adaptive Cross-stitch Graph Convolutional Networks","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4205437463","doi":"https://doi.org/10.1145/3469877.3495643"},"language":"en","primary_location":{"id":"doi:10.1145/3469877.3495643","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469877.3495643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia","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/A5052675811","display_name":"Zehui Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zehui Hu","raw_affiliation_strings":["Guangxi Normal University, CN"],"affiliations":[{"raw_affiliation_string":"Guangxi Normal University, CN","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049009758","display_name":"Zidong Su","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zidong Su","raw_affiliation_strings":["Guangxi Normal University, CN"],"affiliations":[{"raw_affiliation_string":"Guangxi Normal University, CN","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071226861","display_name":"Yangding Li","orcid":"https://orcid.org/0000-0003-0175-4368"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangding Li","raw_affiliation_strings":["Hunan Normal University, CN"],"affiliations":[{"raw_affiliation_string":"Hunan Normal University, CN","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045938746","display_name":"Junbo Ma","orcid":"https://orcid.org/0000-0002-5859-8389"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbo Ma","raw_affiliation_strings":["Guangxi Normal University, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Normal University, China","institution_ids":["https://openalex.org/I29739308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052675811"],"corresponding_institution_ids":["https://openalex.org/I29739308"],"apc_list":null,"apc_paid":null,"fwci":0.6799,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7662757,"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":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9997000098228455,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9764000177383423,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9718000292778015,"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":0.8140383958816528},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6492722034454346},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5953025817871094},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5602601766586304},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5070314407348633},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4909835159778595},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4831497073173523},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4745393991470337},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.43016839027404785},{"id":"https://openalex.org/keywords/topological-graph-theory","display_name":"Topological graph theory","score":0.4160378873348236},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41524431109428406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28342121839523315},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19969862699508667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08776456117630005},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.0667617917060852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8140383958816528},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6492722034454346},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5953025817871094},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5602601766586304},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5070314407348633},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4909835159778595},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4831497073173523},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4745393991470337},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.43016839027404785},{"id":"https://openalex.org/C157406716","wikidata":"https://www.wikidata.org/wiki/Q4115842","display_name":"Topological graph theory","level":5,"score":0.4160378873348236},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41524431109428406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28342121839523315},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19969862699508667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08776456117630005},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.0667617917060852},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3469877.3495643","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469877.3495643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2002370809","https://openalex.org/W2112796928","https://openalex.org/W2154851992","https://openalex.org/W2159373756","https://openalex.org/W2335437633","https://openalex.org/W2614818206","https://openalex.org/W2743129437","https://openalex.org/W2807842095","https://openalex.org/W2809701111","https://openalex.org/W2883604340","https://openalex.org/W2895210058","https://openalex.org/W2908461307","https://openalex.org/W2911286998","https://openalex.org/W2912083425","https://openalex.org/W2963555845","https://openalex.org/W2963877604","https://openalex.org/W2964051675","https://openalex.org/W2990045899","https://openalex.org/W3039075121","https://openalex.org/W3100993589","https://openalex.org/W3104097132","https://openalex.org/W3159861831"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175"],"abstract_inverted_index":{"Graph":[0],"convolutional":[1,24],"networks":[2,12,25,54,62],"(GCN)":[3],"have":[4,26],"been":[5],"widely":[6],"used":[7],"in":[8,98],"processing":[9],"graphs":[10],"and":[11,32,68,71,82],"data.":[13],"However,":[14],"some":[15],"recent":[16],"research":[17],"experiments":[18],"show":[19],"that":[20,125],"the":[21,39,48,52,86,90,112],"existing":[22],"graph":[23],"isseus":[27],"when":[28],"integrating":[29,77],"node":[30,66,80],"features":[31,67,81],"topology":[33,69,83],"structure.":[34],"In":[35],"order":[36],"to":[37,109],"remedy":[38],"weakness,":[40],"we":[41],"propose":[42],"a":[43],"new":[44],"GCN":[45,56],"architecture.":[46],"Firstly,":[47],"proposed":[49,91],"architecture":[50],"introduces":[51],"cross-stitch":[53,59],"into":[55],"with":[57],"improved":[58],"units.":[60],"Cross-stitch":[61],"spread":[63],"information/knowledge":[64],"between":[65,116],"structure,":[70],"obtains":[72],"consistent":[73],"learned":[74],"representation":[75],"by":[76],"information":[78,97,115],"of":[79],"structure":[84],"at":[85],"same":[87],"time.":[88],"Therefore,":[89],"model":[92],"can":[93],"capture":[94],"various":[95],"channel":[96,117],"all":[99,129],"images":[100],"through":[101],"multiple":[102],"channels.":[103],"Secondly,":[104],"an":[105],"attention":[106],"mechanism":[107],"is":[108],"further":[110],"extract":[111],"most":[113],"relevant":[114],"embeddings.":[118],"Experiments":[119],"on":[120,132],"six":[121],"benchmark":[122],"datasets":[123],"shows":[124],"our":[126],"method":[127],"outperforms":[128],"comparison":[130],"methods":[131],"different":[133],"evaluation":[134],"indicators.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}