{"id":"https://openalex.org/W4383879002","doi":"https://doi.org/10.1145/3595632","title":"Learning from Hierarchical Structure of Knowledge Graph for Recommendation","display_name":"Learning from Hierarchical Structure of Knowledge Graph for Recommendation","publication_year":2023,"publication_date":"2023-07-11","ids":{"openalex":"https://openalex.org/W4383879002","doi":"https://doi.org/10.1145/3595632"},"language":"en","primary_location":{"id":"doi:10.1145/3595632","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3595632","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595632","source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3595632","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065123140","display_name":"Yingrong Qin","orcid":"https://orcid.org/0000-0002-2136-1193"},"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":"Yingrong Qin","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0002-2136-1193","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078622343","display_name":"Chen Gao","orcid":"https://orcid.org/0000-0002-7561-5646"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]},{"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":"Chen Gao","raw_affiliation_strings":["Tsinghua University and Huawei Noah\u2019s Ark Lab, China","Tsinghua University and Huawei Noah's Ark Lab, China"],"raw_orcid":"https://orcid.org/0000-0002-7561-5646","affiliations":[{"raw_affiliation_string":"Tsinghua University and Huawei Noah\u2019s Ark Lab, China","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University and Huawei Noah's Ark Lab, China","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012143414","display_name":"Shuangqing Wei","orcid":"https://orcid.org/0000-0001-5913-1441"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuangqing Wei","raw_affiliation_strings":["Louisiana State University, The United States"],"raw_orcid":"https://orcid.org/0000-0001-5913-1441","affiliations":[{"raw_affiliation_string":"Louisiana State University, The United States","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372081","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-9648-2838"},"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":"Yue Wang","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0002-9648-2838","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044100655","display_name":"Depeng Jin","orcid":"https://orcid.org/0000-0003-0419-5514"},"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":"Depeng Jin","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0003-0419-5514","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347994","display_name":"Jian Yuan","orcid":"https://orcid.org/0000-0001-9734-6056"},"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":"Jian Yuan","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-9734-6056","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351850","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0002-4394-2685"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, China"],"raw_orcid":"https://orcid.org/0000-0002-4394-2685","affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028563023","display_name":"Dong Li","orcid":"https://orcid.org/0000-0002-8800-1483"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Li","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, China","Huawei Noah's Ark Lab, China"],"raw_orcid":"https://orcid.org/0000-0002-8800-1483","affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047509839","display_name":"Jianye Hao","orcid":"https://orcid.org/0000-0002-0422-8235"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianye Hao","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, China","Huawei Noah's Ark Lab, China"],"raw_orcid":"https://orcid.org/0000-0002-0422-8235","affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"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":"Yong Li","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-5617-1659","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5065123140"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.4851,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91194061,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"42","issue":"1","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9884999990463257,"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":0.8679500818252563},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6491441130638123},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.6482813358306885},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.574997067451477},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5320172309875488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48493388295173645},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.47888821363449097},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4588431119918823},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4519479274749756},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43846842646598816},{"id":"https://openalex.org/keywords/rationality","display_name":"Rationality","score":0.43343642354011536},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4276261627674103},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33509328961372375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8679500818252563},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6491441130638123},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.6482813358306885},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.574997067451477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5320172309875488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48493388295173645},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.47888821363449097},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4588431119918823},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4519479274749756},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43846842646598816},{"id":"https://openalex.org/C201717286","wikidata":"https://www.wikidata.org/wiki/Q938185","display_name":"Rationality","level":2,"score":0.43343642354011536},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4276261627674103},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33509328961372375},{"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/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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3595632","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3595632","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595632","source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:repository.lsu.edu:eecs_pubs-2928","is_oa":true,"landing_page_url":"https://repository.lsu.edu/eecs_pubs/1926","pdf_url":null,"source":{"id":"https://openalex.org/S4210169993","display_name":"Civil War Book Review","issn_l":"1528-6592","issn":["1528-6592"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310315936","host_organization_name":"Louisiana State University","host_organization_lineage":["https://openalex.org/P4310315936"],"host_organization_lineage_names":["Louisiana State University"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3595632","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3595632","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595632","source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2437064176","display_name":null,"funder_award_id":"U21B2036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3188007771","display_name":null,"funder_award_id":"U20B2060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5282422135","display_name":null,"funder_award_id":"2021GQG1005","funder_id":"https://openalex.org/F3230804744","funder_display_name":"Guoqiang Institute, Tsinghua University"},{"id":"https://openalex.org/G8002104637","display_name":null,"funder_award_id":"62272262, U20B2060, U21B2036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8229519694","display_name":null,"funder_award_id":"2022YFB3104702","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G876154893","display_name":null,"funder_award_id":"2021TQ0027 and 2022M710006","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8910773033","display_name":null,"funder_award_id":"2022YFB3104702","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F3230804744","display_name":"Guoqiang Institute, Tsinghua University","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4383879002.pdf","grobid_xml":"https://content.openalex.org/works/W4383879002.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W178169250","https://openalex.org/W2023781368","https://openalex.org/W2072422262","https://openalex.org/W2127795553","https://openalex.org/W2250342289","https://openalex.org/W2250911766","https://openalex.org/W2283196293","https://openalex.org/W2466714650","https://openalex.org/W2509893387","https://openalex.org/W2510906045","https://openalex.org/W2604738573","https://openalex.org/W2801992635","https://openalex.org/W2884134047","https://openalex.org/W2893775232","https://openalex.org/W2911778742","https://openalex.org/W2912415363","https://openalex.org/W2912664727","https://openalex.org/W2914576582","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2963380480","https://openalex.org/W2966349618","https://openalex.org/W2980918481","https://openalex.org/W3034364571","https://openalex.org/W3044311607","https://openalex.org/W3044893918","https://openalex.org/W3045200674","https://openalex.org/W3080152140","https://openalex.org/W3093563174","https://openalex.org/W3100278010","https://openalex.org/W3100324210","https://openalex.org/W3129482887","https://openalex.org/W3155919942","https://openalex.org/W3156341473","https://openalex.org/W3156622960","https://openalex.org/W3178328486","https://openalex.org/W3198272940","https://openalex.org/W3210661632","https://openalex.org/W4206865191","https://openalex.org/W4212836229","https://openalex.org/W4212975546","https://openalex.org/W4220770035","https://openalex.org/W4224035645","https://openalex.org/W4224245411","https://openalex.org/W4283205337","https://openalex.org/W4284672936","https://openalex.org/W4293575038","https://openalex.org/W4298744521","https://openalex.org/W4315977496","https://openalex.org/W4361230837","https://openalex.org/W6640411583"],"related_works":["https://openalex.org/W1496222301","https://openalex.org/W3207760230","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W4280645561"],"abstract_inverted_index":{"Knowledge":[0],"graphs":[1],"(KGs)":[2],"can":[3],"help":[4],"enhance":[5],"recommendations,":[6],"especially":[7],"for":[8],"the":[9,19,56,67,77,102,118,122,127,143],"data-sparsity":[10],"scenarios":[11],"with":[12,93,105,135],"limited":[13],"user-item":[14,45],"interaction":[15,47],"data.":[16],"Due":[17],"to":[18,38,63,88,137],"strong":[20],"power":[21],"of":[22,25,32,59,69,116,126,132,147],"representation":[23,107],"learning":[24],"graph":[26,43],"neural":[27],"networks":[28],"(GNNs),":[29],"recent":[30],"works":[31,51],"KG-based":[33],"recommendation":[34],"deploy":[35],"GNN":[36],"models":[37],"learn":[39],"from":[40],"both":[41],"knowledge":[42,60],"and":[44,99,124,145],"bipartite":[46],"graph.":[48],"However,":[49],"these":[50],"have":[52,141],"not":[53],"well":[54,120],"considered":[55],"hierarchical":[57,70,91,103],"structure":[58,78,104],"graph,":[61],"leading":[62],"sub-optimal":[64],"results.":[65],"Despite":[66],"benefit":[68],"structure,":[71],"leveraging":[72],"it":[73],"is":[74,79,153],"challenging":[75],"since":[76],"always":[80],"partly-observed.":[81],"In":[82],"this":[83],"work,":[84],"we":[85],"first":[86],"propose":[87],"reveal":[89],"unknown":[90],"structures":[92],"a":[94],"supervised":[95],"signal":[96],"detection":[97],"method":[98],"then":[100],"exploit":[101],"disentangling":[106],"learning.":[108],"We":[109],"conduct":[110],"experiments":[111,131],"on":[112],"two":[113],"large-scale":[114],"datasets,":[115],"which":[117],"results":[119],"verify":[121],"superiority":[123],"rationality":[125,146],"proposed":[128,149],"method.":[129],"Further":[130],"ablation":[133],"study":[134],"respect":[136],"key":[138],"model":[139],"designs":[140],"demonstrated":[142],"effectiveness":[144],"our":[148],"model.":[150],"The":[151],"code":[152],"available":[154],"at":[155],"https://github.com/tsinghua-fib-lab/HIKE":[156],".":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
