{"id":"https://openalex.org/W4396843666","doi":"https://doi.org/10.1145/3589335.3651560","title":"Simple Multigraph Convolution Networks","display_name":"Simple Multigraph Convolution Networks","publication_year":2024,"publication_date":"2024-05-12","ids":{"openalex":"https://openalex.org/W4396843666","doi":"https://doi.org/10.1145/3589335.3651560"},"language":"en","primary_location":{"id":"doi:10.1145/3589335.3651560","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651560","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651560","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651560","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027472534","display_name":"Danyang Wu","orcid":"https://orcid.org/0000-0002-0309-1409"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Danyang Wu","raw_affiliation_strings":["College of Information Engineering, Northwest A&amp;F University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Northwest A&amp;F University, Xi'an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024324156","display_name":"Xinjie Shen","orcid":"https://orcid.org/0009-0004-9176-5400"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjie Shen","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020877437","display_name":"Jitao Lu","orcid":"https://orcid.org/0000-0002-6065-2639"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jitao Lu","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114357209","display_name":"Jin Xu","orcid":"https://orcid.org/0009-0001-8735-3532"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Xu","raw_affiliation_strings":["South China University of Technology &amp; Pazhou Lab, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology &amp; Pazhou Lab, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027472534"],"corresponding_institution_ids":["https://openalex.org/I37802460"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05041176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"794","last_page":"797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9854999780654907,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9800999760627747,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multigraph","display_name":"Multigraph","score":0.9430781602859497},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.7813892364501953},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7003216743469238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6079659461975098},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3405817747116089},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26944443583488464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.219497412443161},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09568685293197632}],"concepts":[{"id":"https://openalex.org/C17758045","wikidata":"https://www.wikidata.org/wiki/Q2642629","display_name":"Multigraph","level":3,"score":0.9430781602859497},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.7813892364501953},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7003216743469238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6079659461975098},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3405817747116089},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26944443583488464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.219497412443161},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09568685293197632},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589335.3651560","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651560","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651560","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3589335.3651560","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651560","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651560","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396843666.pdf"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2766924555","https://openalex.org/W2914272550","https://openalex.org/W2962779748","https://openalex.org/W2988647631","https://openalex.org/W3004507689","https://openalex.org/W3012918605","https://openalex.org/W3103513278","https://openalex.org/W3183448130","https://openalex.org/W4224914537","https://openalex.org/W4285378361","https://openalex.org/W4328007631","https://openalex.org/W4366986862"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2781078086","https://openalex.org/W2114952748","https://openalex.org/W2914213999","https://openalex.org/W2604238334","https://openalex.org/W2380420450","https://openalex.org/W2059954821","https://openalex.org/W1983162902","https://openalex.org/W1549308032"],"abstract_inverted_index":{"Existing":[0],"multigraph":[1,112],"convolution":[2,86],"methods":[3],"either":[4],"ignore":[5],"the":[6,65,84,91,98],"cross-view":[7,21,41,74,80],"interaction":[8],"among":[9],"multiple":[10],"graphs,":[11],"or":[12],"induce":[13],"extremely":[14],"high":[15],"computational":[16],"cost":[17],"due":[18],"to":[19],"standard":[20,73,94],"polynomial":[22,52,69,75,95],"operators.":[23],"To":[24],"alleviate":[25],"this":[26,28],"problem,":[27],"paper":[29],"proposes":[30],"a":[31],"Simple":[32],"MultiGraph":[33],"Convolution":[34],"Networks":[35],"(SMGCN)":[36],"which":[37,77],"first":[38],"extracts":[39],"consistent":[40,59,66],"topology":[42],"from":[43],"multigraphs":[44,57],"including":[45],"edge-level":[46],"and":[47,58,88,110],"subgraph-level":[48],"topology,":[49],"then":[50],"performs":[51,78],"expansion":[53,70],"based":[54],"on":[55,108],"raw":[56],"topologies.":[60],"In":[61,97],"theory,":[62],"SMGCN":[63,104],"utilizes":[64],"topologies":[67],"in":[68],"rather":[71],"than":[72],"expansion,":[76],"credible":[79],"spatial":[81],"message-passing,":[82],"follows":[83],"spectral":[85],"paradigm,":[87],"effectively":[89],"reduces":[90],"complexity":[92],"of":[93],"expansion.":[96],"simulations,":[99],"experimental":[100],"results":[101],"demonstrate":[102],"that":[103],"achieves":[105],"state-of-the-art":[106],"performance":[107],"ACM":[109],"DBLP":[111],"benchmark":[113],"datasets.":[114],"Our":[115],"codes":[116],"are":[117],"available":[118],"at":[119],"https://github.com/frinkleko/SMGCN.":[120]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
