{"id":"https://openalex.org/W4318685725","doi":"https://doi.org/10.1145/3566097.3567910","title":"SLOGAN","display_name":"SLOGAN","publication_year":2023,"publication_date":"2023-01-16","ids":{"openalex":"https://openalex.org/W4318685725","doi":"https://doi.org/10.1145/3566097.3567910"},"language":"en","primary_location":{"id":"doi:10.1145/3566097.3567910","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3566097.3567910","pdf_url":null,"source":{"id":"https://openalex.org/S4363608968","display_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061851631","display_name":"Junchi Ma","orcid":"https://orcid.org/0000-0001-6944-7511"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junchi Ma","raw_affiliation_strings":["Chang'an University, Xi'an, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022172721","display_name":"Sulei Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sulei Huang","raw_affiliation_strings":["Chang'an University, Xi'an, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058411526","display_name":"Zongtao Duan","orcid":"https://orcid.org/0000-0002-9920-7751"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongtao Duan","raw_affiliation_strings":["Chang'an University, Xi'an, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064826355","display_name":"Lei Tang","orcid":"https://orcid.org/0000-0001-5465-610X"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Tang","raw_affiliation_strings":["Chang'an University, Xi'an, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100777265","display_name":"Luyang Wang","orcid":"https://orcid.org/0000-0003-3004-0794"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyang Wang","raw_affiliation_strings":["Chang'an University, Xi'an, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061851631"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":null,"apc_paid":null,"fwci":0.3391,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.44612181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"296","last_page":"301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9860000014305115,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9860000014305115,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.8135019540786743},{"id":"https://openalex.org/keywords/slogan","display_name":"Slogan","score":0.6542899012565613},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.521411657333374},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4687730669975281},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.452513724565506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34642189741134644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24506384134292603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8135019540786743},{"id":"https://openalex.org/C2780619561","wikidata":"https://www.wikidata.org/wiki/Q30515","display_name":"Slogan","level":3,"score":0.6542899012565613},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.521411657333374},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4687730669975281},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.452513724565506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34642189741134644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24506384134292603},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3566097.3567910","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3566097.3567910","pdf_url":null,"source":{"id":"https://openalex.org/S4363608968","display_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1619770058","https://openalex.org/W2123907700","https://openalex.org/W2153185479","https://openalex.org/W2529578574","https://openalex.org/W2624431344","https://openalex.org/W2786254395","https://openalex.org/W2891743865","https://openalex.org/W2979566992","https://openalex.org/W2998591141","https://openalex.org/W3135774742","https://openalex.org/W3173261253","https://openalex.org/W4287849465","https://openalex.org/W6752919375","https://openalex.org/W6790814326"],"related_works":["https://openalex.org/W2092758511","https://openalex.org/W2346874710","https://openalex.org/W2334899200","https://openalex.org/W2368798859","https://openalex.org/W2361980589","https://openalex.org/W2292519820","https://openalex.org/W4392734983","https://openalex.org/W2375652356","https://openalex.org/W2118167761","https://openalex.org/W2932872266"],"abstract_inverted_index":{"The":[0,15,170],"trend":[1],"of":[2,40,69,82,97,106,135,156,159],"progressive":[3],"technology":[4],"scaling":[5],"makes":[6],"the":[7,44,60,67,80,95,103,123,133,141,150,157,163,167],"computing":[8],"system":[9],"more":[10],"susceptible":[11],"to":[12,35,65,140],"soft":[13,20],"errors.":[14],"most":[16],"critical":[17],"issue":[18],"that":[19,173],"error":[21],"incurs":[22],"is":[23,43,92],"silent":[24],"data":[25],"corruption":[26],"(SDC)":[27],"since":[28,59],"SDC":[29,38,83,164,177],"occurs":[30],"silently":[31],"without":[32],"any":[33],"warnings":[34],"users.":[36],"Estimating":[37],"probability":[39,84,165],"a":[41,74,86,183],"program":[42,91],"first":[45],"and":[46,119,130,138,161],"essential":[47],"step":[48],"towards":[49],"designing":[50],"protection":[51],"mechanism.":[52],"Prior":[53],"work":[54],"suffers":[55],"from":[56,127],"prediction":[57,81],"inaccuracy":[58],"proposed":[61],"heuristic-based":[62],"models":[63],"fail":[64],"describe":[66],"semantic":[68,105],"fault":[70,107,142],"propagation.":[71],"We":[72,148],"propose":[73],"novel":[75],"approach":[76],"SLOGAN":[77,174],"which":[78,115],"transfers":[79],"into":[85],"graph":[87,112,151],"regression":[88,168],"task.":[89],"A":[90],"represented":[93],"in":[94],"form":[96],"dynamic":[98],"dependence":[99],"graph.":[100],"To":[101],"capture":[102],"rich":[104],"propagation,":[108],"we":[109],"apply":[110],"structured":[111],"attention":[113,125],"network,":[114],"includes":[116],"node-level,":[117,128],"graph-level":[118],"layer-level":[120,131],"self-attention.":[121],"With":[122],"learned":[124],"coefficients":[126],"graph-level,":[129],"self-attention,":[132],"importance":[134],"edges,":[136],"nodes,":[137],"layers":[139],"propagation":[143],"can":[144],"be":[145],"fully":[146],"considered.":[147],"generate":[149],"embedding":[152],"by":[153,166],"weighted":[154],"aggregation":[155],"embeddings":[158],"nodes":[160],"compute":[162],"model.":[169],"experiment":[171],"shows":[172],"achieves":[175],"higher":[176],"accuracy":[178],"than":[179],"state-of-the-art":[180],"methods":[181],"with":[182],"low":[184],"time":[185],"cost.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-02-01T00:00:00"}