{"id":"https://openalex.org/W7165396820","doi":"https://doi.org/10.1145/3765611.3815370","title":"Toward Explainable GNN-Based Dynamic Stability Assessment via Joint Feature Attribution","display_name":"Toward Explainable GNN-Based Dynamic Stability Assessment via Joint Feature Attribution","publication_year":2026,"publication_date":"2026-06-20","ids":{"openalex":"https://openalex.org/W7165396820","doi":"https://doi.org/10.1145/3765611.3815370"},"language":null,"primary_location":{"id":"doi:10.1145/3765611.3815370","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3765611.3815370","pdf_url":null,"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 2026 ACM Sustainability Week","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3765611.3815370","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092543459","display_name":"Martin Sadric","orcid":"https://orcid.org/0009-0000-5678-0390"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Sadric","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0009-0000-5678-0390","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040295886","display_name":"Benjamin Sch\u00e4fer","orcid":"https://orcid.org/0000-0003-1607-9748"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benjamin Sch\u00e4fer","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1607-9748","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71135227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"530","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.41999998688697815,"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":0.41999998688697815,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.1103999987244606,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.05660000070929527,"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/joint","display_name":"Joint (building)","score":0.5814999938011169},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5656999945640564},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5407000184059143},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3865000009536743},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2624000012874603}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5817999839782715},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5814999938011169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5708000063896179},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5656999945640564},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5407000184059143},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3865000009536743},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2492000013589859},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2492000013589859},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2402999997138977}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3765611.3815370","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3765611.3815370","pdf_url":null,"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 2026 ACM Sustainability Week","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3765611.3815370","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3765611.3815370","pdf_url":null,"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 2026 ACM Sustainability Week","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6962389945983887}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W4281572064","https://openalex.org/W4416067414","https://openalex.org/W7165355521"],"related_works":[],"abstract_inverted_index":{"Graph":[0],"Neural":[1],"Networks":[2],"(GNNs)":[3],"offer":[4],"a":[5,45,88,97,109],"fast":[6],"approach":[7],"to":[8],"dynamic":[9,126],"stability":[10,127],"assessment":[11],"of":[12,78],"power":[13,34],"grids,":[14],"and":[15,51,71,81,102],"edge-conditioned":[16],"architectures":[17],"are":[18,60],"especially":[19],"well":[20],"suited":[21],"because":[22],"they":[23,66],"incorporate":[24],"transmission-line":[25],"parameters":[26],"directly":[27],"into":[28,99],"message":[29],"passing.":[30],"For":[31],"deployment,":[32],"however,":[33],"grid":[35],"operators":[36],"need":[37],"explanations":[38],"that":[39,95],"account":[40],"for":[41,63,92,113,125],"all":[42],"inputs":[43],"influencing":[44],"prediction:":[46],"bus":[47],"states,":[48],"line":[49],"parameters,":[50],"global":[52],"operating":[53],"context.":[54],"Existing":[55],"post-hoc":[56],"GNN":[57,93],"explanation":[58],"methods":[59],"not":[61],"designed":[62],"this":[64,118],"setting:":[65],"focus":[67,121],"mainly":[68],"on":[69,122],"node-":[70],"graph-level":[72,84,103],"classification":[73],"tasks,":[74],"provide":[75],"limited":[76],"treatment":[77],"edge":[79],"features,":[80],"often":[82],"ignore":[83],"features.":[85],"We":[86],"propose":[87],"joint":[89,115],"attribution":[90],"framework":[91],"predictions":[94],"decomposes":[96],"prediction":[98],"node,":[100],"edge,":[101],"contributions":[104],"while":[105],"preserving":[106],"completeness,":[107],"establishing":[108],"first":[110],"formal":[111],"guarantee":[112],"trustworthy":[114],"explanations.":[116],"In":[117],"work,":[119],"we":[120],"edge-level":[123],"regression":[124],"assessment.":[128]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-06-20T00:00:00"}