{"id":"https://openalex.org/W4387346457","doi":"https://doi.org/10.1145/3584371.3612963","title":"Canonical Representation of Biological Networks Using Graph Convolution","display_name":"Canonical Representation of Biological Networks Using Graph Convolution","publication_year":2023,"publication_date":"2023-09-03","ids":{"openalex":"https://openalex.org/W4387346457","doi":"https://doi.org/10.1145/3584371.3612963"},"language":"en","primary_location":{"id":"doi:10.1145/3584371.3612963","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584371.3612963","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3612963","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","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/10.1145/3584371.3612963","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058757820","display_name":"Mengzhen Li","orcid":"https://orcid.org/0000-0002-2266-4313"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mengzhen Li","raw_affiliation_strings":["Case Western Reserve University, Cleveland, USA"],"raw_orcid":"https://orcid.org/0000-0002-2266-4313","affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087032049","display_name":"Mustafa Co\u015fkun","orcid":"https://orcid.org/0000-0003-4805-1416"},"institutions":[{"id":"https://openalex.org/I149218525","display_name":"Ankara University","ror":"https://ror.org/01wntqw50","country_code":"TR","type":"education","lineage":["https://openalex.org/I149218525"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mustafa Co\u015fkun","raw_affiliation_strings":["Ankara University, Ankara, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-4805-1416","affiliations":[{"raw_affiliation_string":"Ankara University, Ankara, Turkey","institution_ids":["https://openalex.org/I149218525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035558591","display_name":"Mehmet Koyut\u00fcrk","orcid":"https://orcid.org/0000-0002-3434-5512"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehmet Koyut\u00fcrk","raw_affiliation_strings":["Case Western Reserve University, Cleveland, USA"],"raw_orcid":"https://orcid.org/0000-0002-3434-5512","affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, USA","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058757820"],"corresponding_institution_ids":["https://openalex.org/I58956616"],"apc_list":null,"apc_paid":null,"fwci":0.2999,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6401888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6907985210418701},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5963000059127808},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5947705507278442},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5748432874679565},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5495721697807312},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5001537799835205},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.46172279119491577},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.44530078768730164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3443737030029297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3398926854133606},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.329267680644989},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3200288414955139},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26665130257606506},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15758562088012695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907985210418701},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5963000059127808},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5947705507278442},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5748432874679565},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5495721697807312},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5001537799835205},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.46172279119491577},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.44530078768730164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3443737030029297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3398926854133606},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.329267680644989},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3200288414955139},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26665130257606506},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15758562088012695},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/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/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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584371.3612963","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584371.3612963","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3612963","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3584371.3612963","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584371.3612963","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3612963","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387346457.pdf","grobid_xml":"https://content.openalex.org/works/W4387346457.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1564354600","https://openalex.org/W2074549773","https://openalex.org/W2090891622","https://openalex.org/W2104535569","https://openalex.org/W2133299088","https://openalex.org/W2767891136","https://openalex.org/W2900569176","https://openalex.org/W2916047525","https://openalex.org/W2962756421","https://openalex.org/W2962975498","https://openalex.org/W2977707586","https://openalex.org/W3174753721","https://openalex.org/W4281763047","https://openalex.org/W4367046738"],"related_works":["https://openalex.org/W1597743604","https://openalex.org/W2038723108","https://openalex.org/W2033630974","https://openalex.org/W4245069437","https://openalex.org/W2325737604","https://openalex.org/W4297449606","https://openalex.org/W2382333285","https://openalex.org/W2076621518","https://openalex.org/W2892165056","https://openalex.org/W2098964748"],"abstract_inverted_index":{"Graph":[0],"machine":[1,116],"learning":[2,117],"algorithms":[3,19],"are":[4],"being":[5],"commonly":[6],"applied":[7],"to":[8,35,62,72],"a":[9,57,106],"broad":[10],"range":[11],"of":[12,50,78,101,114],"prediction":[13],"tasks":[14],"in":[15,44,56,82],"systems":[16],"biology.":[17],"These":[18],"present":[20],"many":[21],"design":[22,42,63],"choices":[23],"depending":[24],"on":[25,109],"the":[26,48,99,110],"specific":[27],"application":[28],"and":[29,93,112],"available":[30],"data,":[31],"making":[32],"it":[33],"difficult":[34],"choose":[36],"from":[37],"different":[38],"options.":[39],"An":[40],"important":[41],"criterion":[43],"this":[45],"regard":[46],"is":[47,60],"definition":[49],"\"topological":[51],"similarity\"":[52],"between":[53],"two":[54],"nodes":[55],"network,":[58],"which":[59],"used":[61],"convolution":[64,68],"matrices":[65],"for":[66],"graph":[67,115],"or":[69],"loss":[70],"functions":[71],"evaluate":[73],"node":[74],"embeddings.":[75],"Many":[76],"measures":[77],"topological":[79,102],"similarity":[80,103],"exist":[81],"network":[83],"science":[84],"literature":[85],"(e.g.,":[86],"random":[87],"walk":[88],"based":[89],"proximity,":[90],"shared":[91],"neighborhood)":[92],"recent":[94],"comparative":[95],"studies":[96],"show":[97],"that":[98],"choice":[100],"can":[104],"have":[105],"significant":[107],"effect":[108],"performance":[111],"reliability":[113],"models.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}