{"id":"https://openalex.org/W4393207500","doi":"https://doi.org/10.1109/tetci.2024.3372350","title":"From Concept to Instance: Hierarchical Reinforced Knowledge Graph Reasoning","display_name":"From Concept to Instance: Hierarchical Reinforced Knowledge Graph Reasoning","publication_year":2024,"publication_date":"2024-03-26","ids":{"openalex":"https://openalex.org/W4393207500","doi":"https://doi.org/10.1109/tetci.2024.3372350"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3372350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3372350","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-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/A5101668542","display_name":"Cheng Yan","orcid":"https://orcid.org/0009-0000-7896-7041"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Yan","raw_affiliation_strings":["Natural Language Processing and Knowledge Graph Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Natural Language Processing and Knowledge Graph Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073659320","display_name":"Feng Zhao","orcid":"https://orcid.org/0000-0001-7205-3302"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhao","raw_affiliation_strings":["Natural Language Processing and Knowledge Graph Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Natural Language Processing and Knowledge Graph Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100434437","display_name":"Yudong Zhang","orcid":"https://orcid.org/0000-0002-4870-1493"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yudong Zhang","raw_affiliation_strings":["School of Computing and Mathematical Sciences, University of Leicester, Leicester, U.K"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematical Sciences, University of Leicester, Leicester, U.K","institution_ids":["https://openalex.org/I153648349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101668542"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":1.4176,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8335238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":"5","first_page":"3665","last_page":"3677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.991100013256073,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.991100013256073,"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":0.9570000171661377,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9229999780654907,"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":0.5734847784042358},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.49457642436027527},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45420241355895996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42007002234458923},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3697627782821655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5734847784042358},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.49457642436027527},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45420241355895996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42007002234458923},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3697627782821655}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3372350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3372350","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G949712564","display_name":null,"funder_award_id":"62072203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2119717200","https://openalex.org/W2569776380","https://openalex.org/W2728059831","https://openalex.org/W2889234142","https://openalex.org/W2889344053","https://openalex.org/W2950275995","https://openalex.org/W2962886429","https://openalex.org/W2981612821","https://openalex.org/W3003265726","https://openalex.org/W3034862985","https://openalex.org/W3035559300","https://openalex.org/W3036875493","https://openalex.org/W3098682001","https://openalex.org/W3102521862","https://openalex.org/W3145438644","https://openalex.org/W3175944005","https://openalex.org/W3175989614","https://openalex.org/W3194344375","https://openalex.org/W3201736551","https://openalex.org/W3209532363","https://openalex.org/W3211651881","https://openalex.org/W4206911143","https://openalex.org/W4210547122","https://openalex.org/W4221142755","https://openalex.org/W4224324695","https://openalex.org/W4226101728","https://openalex.org/W4226138157","https://openalex.org/W4226486625","https://openalex.org/W4252707176","https://openalex.org/W4285821868","https://openalex.org/W4312634749","https://openalex.org/W4320718960","https://openalex.org/W4385245566","https://openalex.org/W4385819665","https://openalex.org/W6631190155","https://openalex.org/W6638088447","https://openalex.org/W6678830454","https://openalex.org/W6740570033","https://openalex.org/W6741949298","https://openalex.org/W6745779156","https://openalex.org/W6755587638","https://openalex.org/W6764644601","https://openalex.org/W6767684514","https://openalex.org/W6784898386","https://openalex.org/W6788646031","https://openalex.org/W6796595205"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2054026175"],"abstract_inverted_index":{"The":[0,65,240],"knowledge":[1,13,26,35,52,63,67,179],"graph,":[2],"a":[3,24,42,62,93,99,105,122,155,176,205],"networked":[4],"structure":[5],"designed":[6],"to":[7,127,144,151,163,215,236],"organize":[8],"the":[9,16,32,72,96,108,112,142,165,188,198,219,223,233,256,274],"vast":[10],"and":[11,48,85,115,208,222,254,271],"heterogeneous":[12],"existing":[14,133,268],"in":[15,45,81,202],"real":[17],"world,":[18],"has":[19,37,55,77],"gained":[20],"widespread":[21],"adoption":[22],"as":[23,41],"background":[25],"base":[27],"for":[28,60,232],"intelligent":[29],"systems.":[30],"Nevertheless,":[31],"incompleteness":[33],"of":[34,83,98,111,158,191,248],"graphs":[36],"been":[38,56],"widely":[39],"recognized":[40],"significant":[43],"challenge":[44],"their":[46],"development":[47],"application.":[49],"Recently,":[50],"multi-hop":[51,66],"graph":[53,68,180],"reasoning":[54,69,181,217,242],"an":[57,209],"attractive":[58],"method":[59],"completing":[61],"graph.":[64],"based":[70],"on":[71],"reinforcement":[73],"learning":[74],"(RL)":[75],"framework":[76],"achieved":[78],"promising":[79],"performance":[80],"terms":[82],"interpretability":[84],"scalability.":[86],"An":[87],"RL":[88,203],"agent":[89],"automatically":[90],"reasons":[91],"over":[92],"KG":[94],"under":[95],"guidance":[97],"policy":[100],"network.":[101],"When":[102],"faced":[103],"with":[104,154],"query,":[106],"obtaining":[107],"approximate":[109],"range":[110],"answer":[113],"first":[114],"then":[116],"delving":[117],"into":[118,204],"individual":[119],"options":[120],"is":[121,246],"more":[123,250],"efficient":[124],"approach":[125,182,243],"compared":[126],"traversing":[128],"all":[129],"candidate":[130,146,252],"answers.":[131],"However,":[132],"RL-based":[134,269],"methods":[135,270],"have":[136],"two":[137,213],"limitations.":[138],"First,":[139],"they":[140,161],"lack":[141],"ability":[143],"filter":[145],"decisions,":[147],"making":[148],"it":[149],"challenging":[150],"handle":[152],"entities":[153],"large":[156],"number":[157],"neighbors.":[159],"Second,":[160],"fail":[162],"consider":[164],"intrinsic":[166],"correlations":[167],"between":[168],"entities.":[169,192],"To":[170],"address":[171],"these":[172],"limitations,":[173],"we":[174,227,244],"propose":[175,228,245],"novel":[177],"hierarchical":[178,229,241],"<italic":[183,194,263],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[184,195,264],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">HiKGR</i>,":[185],"which":[186],"leverages":[187],"concept":[189,206,220],"information":[190],"Specifically,":[193],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">HiKGR</i>":[196,265],"reconstructs":[197],"previous":[199],"action":[200,275],"space":[201,207,276],"instance":[210,224],"space,":[211],"enabling":[212],"policies":[214,235],"alternate":[216],"at":[218],"level":[221],"level.":[225],"Furthermore,":[226],"reward":[230],"functions":[231],"two-level":[234],"achieve":[237],"joint":[238],"optimization.":[239],"capable":[247],"selecting":[249],"reasonable":[251],"decisions":[253],"optimizing":[255],"decision":[257],"space.":[258],"Experimental":[259],"results":[260],"reveal":[261],"that":[262],"significantly":[266],"outperforms":[267],"drastically":[272],"reduces":[273],"size.":[277]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}