{"id":"https://openalex.org/W2976615102","doi":"https://doi.org/10.18653/v1/d19-5308","title":"Layerwise Relevance Visualization in Convolutional Text Graph Classifiers","display_name":"Layerwise Relevance Visualization in Convolutional Text Graph Classifiers","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2976615102","doi":"https://doi.org/10.18653/v1/d19-5308","mag":"2976615102"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-5308","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5308","pdf_url":"https://www.aclweb.org/anthology/D19-5308.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-5308.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078968418","display_name":"Robert Schwarzenberg","orcid":"https://orcid.org/0000-0002-8819-1635"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Robert Schwarzenberg","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Berlin, Germany","German Research Centre for Artificial Intelligence, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Berlin, Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"German Research Centre for Artificial Intelligence, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033576692","display_name":"Marc P. H\u00fcbner","orcid":"https://orcid.org/0000-0001-8885-418X"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marc H\u00fcbner","raw_affiliation_strings":["German Research Centre for Artificial Intelligence, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Centre for Artificial Intelligence, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066227763","display_name":"David Harbecke","orcid":null},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"David Harbecke","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Berlin, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081320436","display_name":"Christoph Alt","orcid":null},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Alt","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Berlin, Germany","German Research Centre for Artificial Intelligence, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Berlin, Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"German Research Centre for Artificial Intelligence, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070094187","display_name":"Leonhard Hennig","orcid":"https://orcid.org/0000-0002-9594-2011"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Leonhard Hennig","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Berlin, Germany","German Research Centre for Artificial Intelligence, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Berlin, Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"German Research Centre for Artificial Intelligence, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078968418"],"corresponding_institution_ids":["https://openalex.org/I33256026"],"apc_list":null,"apc_paid":null,"fwci":0.7225,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.790605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"58","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","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/T10028","display_name":"Topic Modeling","score":0.993399977684021,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9922000169754028,"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/computer-science","display_name":"Computer science","score":0.7687026262283325},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6963533163070679},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6228675842285156},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.622023344039917},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5995902419090271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.53721684217453},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5097067356109619},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4607897698879242},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4257124960422516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3923832178115845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3686906695365906},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2732034921646118}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7687026262283325},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6963533163070679},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6228675842285156},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.622023344039917},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5995902419090271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.53721684217453},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5097067356109619},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4607897698879242},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4257124960422516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3923832178115845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3686906695365906},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2732034921646118},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/d19-5308","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5308","pdf_url":"https://www.aclweb.org/anthology/D19-5308.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1909.10911","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.10911","pdf_url":"https://arxiv.org/pdf/1909.10911","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2976615102","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1909.10911.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1909.10911","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1909.10911","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-5308","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5308","pdf_url":"https://www.aclweb.org/anthology/D19-5308.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G4444951618","display_name":null,"funder_award_id":"01IW17001","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2976615102.pdf","grobid_xml":"https://content.openalex.org/works/W2976615102.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1787224781","https://openalex.org/W2195388612","https://openalex.org/W2519887557","https://openalex.org/W2561412020","https://openalex.org/W2657631929","https://openalex.org/W2766453196","https://openalex.org/W2899771611","https://openalex.org/W2916106175","https://openalex.org/W2921239480","https://openalex.org/W2922124692","https://openalex.org/W2947873642","https://openalex.org/W2962772361","https://openalex.org/W2963639288","https://openalex.org/W2964145825","https://openalex.org/W2972317931","https://openalex.org/W2979481854","https://openalex.org/W3106224367"],"related_works":["https://openalex.org/W3167287584","https://openalex.org/W3134296944","https://openalex.org/W2792865064","https://openalex.org/W3022235758","https://openalex.org/W2981401872","https://openalex.org/W2748195089","https://openalex.org/W3203671390","https://openalex.org/W2971773895","https://openalex.org/W3195415198","https://openalex.org/W2890226085","https://openalex.org/W2965914381","https://openalex.org/W3113950522","https://openalex.org/W3048829810","https://openalex.org/W3171015458","https://openalex.org/W3176947119","https://openalex.org/W2754121484","https://openalex.org/W2986811360","https://openalex.org/W2972566631","https://openalex.org/W3212263067","https://openalex.org/W3107699589"],"abstract_inverted_index":{"Representations":[0],"in":[1,70,85],"the":[2,71,86],"hidden":[3,74,82],"layers":[4,75],"of":[5,76],"Deep":[6],"Neural":[7],"Networks":[8,28],"(DNN)":[9],"are":[10],"often":[11],"hard":[12],"to":[13,19,66],"interpret":[14],"since":[15],"it":[16,94],"is":[17],"difficult":[18],"project":[20],"them":[21],"into":[22],"an":[23],"interpretable":[24],"domain.":[25],"Graph":[26],"Convolutional":[27],"(GCN)":[29],"allow":[30],"this":[31,40,52],"projection,":[32],"but":[33],"existing":[34],"explainability":[35],"methods":[36],"do":[37,43],"not":[38,44],"exploit":[39],"fact,":[41],"i.e.":[42],"focus":[45],"their":[46],"explanations":[47,98],"on":[48],"intermediate":[49],"states.":[50],"In":[51],"work,":[53],"we":[54],"present":[55],"a":[56,67,77,100],"novel":[57],"method":[58,80],"that":[59,64,93],"traces":[60],"and":[61,73],"visualizes":[62],"features":[63],"contribute":[65],"classification":[68],"decision":[69],"visible":[72],"GCN.":[78],"Our":[79],"exposes":[81],"cross-layer":[83],"dynamics":[84],"input":[87],"graph":[88],"structure.":[89],"We":[90],"experimentally":[91],"demonstrate":[92],"yields":[95],"meaningful":[96],"layerwise":[97],"for":[99],"GCN":[101],"sentence":[102],"classifier.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
