{"id":"https://openalex.org/W4408712259","doi":"https://doi.org/10.1007/s10994-025-06753-w","title":"Neural RELAGGS","display_name":"Neural RELAGGS","publication_year":2025,"publication_date":"2025-03-20","ids":{"openalex":"https://openalex.org/W4408712259","doi":"https://doi.org/10.1007/s10994-025-06753-w"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-025-06753-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-025-06753-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-025-06753-w.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-025-06753-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078083759","display_name":"Lukas Pensel","orcid":"https://orcid.org/0000-0002-8138-5445"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lukas Pensel","raw_affiliation_strings":["Institut f\u00fcr Informatik, Staudingerweg 9, 55099, Mainz, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informatik, Staudingerweg 9, 55099, Mainz, Germany","institution_ids":["https://openalex.org/I197323543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102744434","display_name":"Stefan Kr\u00e4mer","orcid":"https://orcid.org/0000-0003-0136-2540"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Kramer","raw_affiliation_strings":["Institut f\u00fcr Informatik, Staudingerweg 9, 55099, Mainz, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informatik, Staudingerweg 9, 55099, Mainz, Germany","institution_ids":["https://openalex.org/I197323543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078083759"],"corresponding_institution_ids":["https://openalex.org/I197323543"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.8565,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71059575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"114","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10269","display_name":"Epigenetics and DNA Methylation","score":0.9966999888420105,"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/T10269","display_name":"Epigenetics and DNA Methylation","score":0.9966999888420105,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9824000000953674,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9805999994277954,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.48552966117858887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4456157684326172},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44435378909111023}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48552966117858887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4456157684326172},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44435378909111023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-025-06753-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-025-06753-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-025-06753-w.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-025-06753-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-025-06753-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-025-06753-w.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3465959956","display_name":null,"funder_award_id":"01PL17055","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408712259.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1545331097","https://openalex.org/W1549556210","https://openalex.org/W1565746575","https://openalex.org/W1572684271","https://openalex.org/W1631913055","https://openalex.org/W1978240667","https://openalex.org/W2003019560","https://openalex.org/W2022322548","https://openalex.org/W2056562706","https://openalex.org/W2132898164","https://openalex.org/W2137027418","https://openalex.org/W2140474019","https://openalex.org/W2163298392","https://openalex.org/W2591724233","https://openalex.org/W2759136286","https://openalex.org/W2907492528","https://openalex.org/W2972313860","https://openalex.org/W3012971994","https://openalex.org/W3033378605","https://openalex.org/W3033844118","https://openalex.org/W3101049536","https://openalex.org/W4293249558","https://openalex.org/W6675354045"],"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":{"Abstract":[0],"Multi-relational":[1],"databases":[2,53],"are":[3],"the":[4,60,85,99,111,117,127,130,136,146],"basis":[5],"of":[6,36,62,101,110],"most":[7],"consolidated":[8],"data":[9,23,47,56,67,86],"collections":[10],"in":[11,27,98,116,141],"science":[12],"and":[13,18,66,81,155],"industry":[14],"today.":[15],"Most":[16],"learning":[17,39,65],"mining":[19,68],"algorithms,":[20],"however,":[21],"require":[22],"to":[24],"be":[25],"represented":[26],"a":[28,34,92],"propositional":[29,55],"form.":[30],"While":[31],"there":[32],"is":[33,77],"variety":[35],"specialized":[37],"machine":[38,64],"algorithms":[40,50,69],"that":[41,103],"can":[42,124],"operate":[43],"directly":[44],"on":[45],"multi-relational":[46,52],"sets,":[48,57],"propositionalization":[49,75,128],"transform":[51],"into":[54],"thereby":[58],"allowing":[59],"application":[61],"traditional":[63],"without":[70],"their":[71],"modification.":[72],"One":[73],"prominent":[74],"algorithm":[76,97],"RELAGGS":[78,102,154],"by":[79,87,150],"Krogel":[80],"Wrobel,":[82],"which":[83],"transforms":[84],"nested":[88],"aggregations.":[89],"We":[90,144],"propose":[91],"new":[93],"neural":[94],"network":[95],"based":[96],"spirit":[100],"employs":[104],"trainable":[105],"composite":[106],"aggregate":[107,113],"functions":[108,114],"instead":[109],"static":[112],"used":[115],"original":[118],"approach.":[119],"In":[120],"this":[121],"way,":[122],"we":[123],"jointly":[125],"train":[126],"with":[129,153],"prediction":[131],"model,":[132],"or,":[133],"alternatively,":[134],"use":[135],"learned":[137],"aggegrations":[138],"as":[139],"embeddings":[140],"other":[142,157],"algorithms.":[143,159],"demonstrate":[145],"increased":[147],"predictive":[148],"performance":[149],"comparing":[151],"N-RELAGGS":[152],"multiple":[156],"state-of-the-art":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-03-22T00:00:00"}
