{"id":"https://openalex.org/W4224314826","doi":"https://doi.org/10.1145/3485447.3512023","title":"Explainable Neural Rule Learning","display_name":"Explainable Neural Rule Learning","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4224314826","doi":"https://doi.org/10.1145/3485447.3512023"},"language":"en","primary_location":{"id":"doi:10.1145/3485447.3512023","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485447.3512023","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3512023","source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","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 ACM Web Conference 2022","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3512023","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038518790","display_name":"Shaoyun Shi","orcid":"https://orcid.org/0000-0002-1524-7132"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaoyun Shi","raw_affiliation_strings":["Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064794276","display_name":"Yuexiang Xie","orcid":"https://orcid.org/0009-0005-6545-7882"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexiang Xie","raw_affiliation_strings":["Alibaba Group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422430","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0003-3907-4595"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["Alibaba Group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040297543","display_name":"Bolin Ding","orcid":"https://orcid.org/0000-0003-1535-9692"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bolin Ding","raw_affiliation_strings":["Alibaba Group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046576694","display_name":"Yaliang Li","orcid":"https://orcid.org/0000-0002-4204-6096"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaliang Li","raw_affiliation_strings":["Alibaba Group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402996","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0003-3158-1920"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038518790"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.2473,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80968541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3031","last_page":"3041"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9872999787330627,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9864000082015991,"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-neural-network","display_name":"Artificial neural network","score":0.8133982419967651},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.7806574106216431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7150034308433533},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.625659704208374},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.6201088428497314},{"id":"https://openalex.org/keywords/accountability","display_name":"Accountability","score":0.5868953466415405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5693916082382202},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4623253643512726},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4434874355792999},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11543646454811096}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8133982419967651},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.7806574106216431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7150034308433533},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.625659704208374},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.6201088428497314},{"id":"https://openalex.org/C2776007630","wikidata":"https://www.wikidata.org/wiki/Q2798912","display_name":"Accountability","level":2,"score":0.5868953466415405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5693916082382202},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4623253643512726},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4434874355792999},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11543646454811096},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3485447.3512023","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485447.3512023","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3512023","source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","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 ACM Web Conference 2022","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3485447.3512023","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485447.3512023","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3512023","source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","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 ACM Web Conference 2022","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4224314826.pdf","grobid_xml":"https://content.openalex.org/works/W4224314826.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1559060276","https://openalex.org/W1787224781","https://openalex.org/W1967320885","https://openalex.org/W2076063813","https://openalex.org/W2220384803","https://openalex.org/W2566079294","https://openalex.org/W2604662567","https://openalex.org/W2773706593","https://openalex.org/W2778172371","https://openalex.org/W2788362053","https://openalex.org/W2898085636","https://openalex.org/W2905122540","https://openalex.org/W2911964244","https://openalex.org/W2911971986","https://openalex.org/W2916048747","https://openalex.org/W2952331773","https://openalex.org/W2963399068","https://openalex.org/W2997668353","https://openalex.org/W3017402509","https://openalex.org/W3022746105","https://openalex.org/W3101704389","https://openalex.org/W3117684406","https://openalex.org/W3125537303","https://openalex.org/W3163411042","https://openalex.org/W3164008977","https://openalex.org/W3187607409","https://openalex.org/W4242841269","https://openalex.org/W4300925844"],"related_works":["https://openalex.org/W3199802296","https://openalex.org/W3184396788","https://openalex.org/W4377865163","https://openalex.org/W4312601715","https://openalex.org/W3193857078","https://openalex.org/W4392828243","https://openalex.org/W2888956734","https://openalex.org/W4312822655","https://openalex.org/W3000197790","https://openalex.org/W3157170264"],"abstract_inverted_index":{"Although":[0],"neural":[1,17,38,60],"networks":[2,18,39],"have":[3],"achieved":[4],"great":[5],"successes":[6],"in":[7,42,76],"various":[8],"machine":[9],"learning":[10],"tasks,":[11],"people":[12],"can":[13,68],"hardly":[14],"know":[15],"what":[16],"learn":[19,63],"from":[20],"data":[21],"due":[22],"to":[23,62],"their":[24],"black-box":[25],"nature.":[26],"The":[27],"lack":[28],"of":[29,34,37],"such":[30],"explainability":[31,54],"is":[32,55,74],"one":[33],"the":[35,64],"limitations":[36],"when":[40],"applied":[41],"domains,":[43],"e.g.,":[44],"healthcare":[45],"and":[46,51,79],"finance,":[47],"that":[48,67],"demand":[49],"transparency":[50],"accountability.":[52],"Moreover,":[53],"beneficial":[56],"for":[57],"guiding":[58],"a":[59,83],"network":[61],"causal":[65],"patterns":[66],"extrapolate":[69],"out-of-distribution":[70],"(OOD)":[71],"data,":[72],"which":[73],"critical":[75],"real-world":[77],"applications":[78],"has":[80],"surged":[81],"as":[82],"hot":[84],"research":[85],"topic.":[86]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}