{"id":"https://openalex.org/W4390482097","doi":"https://doi.org/10.1109/tnnls.2023.3344634","title":"Graph Reasoning With Supervised Contrastive Learning for Legal Judgment Prediction","display_name":"Graph Reasoning With Supervised Contrastive Learning for Legal Judgment Prediction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390482097","doi":"https://doi.org/10.1109/tnnls.2023.3344634","pmid":"https://pubmed.ncbi.nlm.nih.gov/38163308"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3344634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3344634","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5058918328","display_name":"Jiawei Wang","orcid":"https://orcid.org/0000-0002-6601-2958"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Wang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-6601-2958","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034405338","display_name":"Yuquan Le","orcid":"https://orcid.org/0000-0001-6283-9037"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuquan Le","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6283-9037","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078164599","display_name":"Da Cao","orcid":"https://orcid.org/0000-0002-2611-2559"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Cao","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2611-2559","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017893281","display_name":"Shaofei Lu","orcid":"https://orcid.org/0000-0003-2183-4314"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaofei Lu","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2183-4314","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021932264","display_name":"Zhe Quan","orcid":"https://orcid.org/0000-0003-2669-9190"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Quan","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2669-9190","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-3094-7735","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.4896,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.98796777,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"36","issue":"2","first_page":"2801","last_page":"2815"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9735999703407288,"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/T12755","display_name":"Legal Education and Practice Innovations","score":0.9172999858856201,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162585258483887},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6076436042785645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5788629651069641},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5657898783683777},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5125963091850281},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.43688878417015076},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3345350921154022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162585258483887},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6076436042785645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5788629651069641},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5657898783683777},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5125963091850281},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.43688878417015076},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3345350921154022},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3344634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3344634","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38163308","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38163308","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1254371490","display_name":null,"funder_award_id":"202206130103","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G5739444964","display_name":null,"funder_award_id":"2023JJ20013","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G7252533263","display_name":null,"funder_award_id":"61802121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8342405255","display_name":null,"funder_award_id":"2022JJ30159","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1924770834","https://openalex.org/W2157331557","https://openalex.org/W2187089797","https://openalex.org/W2470673105","https://openalex.org/W2519887557","https://openalex.org/W2740721704","https://openalex.org/W2740833370","https://openalex.org/W2858159822","https://openalex.org/W2887997457","https://openalex.org/W2890026792","https://openalex.org/W2896457183","https://openalex.org/W2907492528","https://openalex.org/W2945260553","https://openalex.org/W2963076818","https://openalex.org/W2963695795","https://openalex.org/W2965006690","https://openalex.org/W2965373594","https://openalex.org/W2998496395","https://openalex.org/W3009561768","https://openalex.org/W3034892514","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3035659929","https://openalex.org/W3035668167","https://openalex.org/W3035702572","https://openalex.org/W3036224891","https://openalex.org/W3101273072","https://openalex.org/W3103181983","https://openalex.org/W3156638011","https://openalex.org/W3156831596","https://openalex.org/W3169827396","https://openalex.org/W3171007011","https://openalex.org/W3177382889","https://openalex.org/W3188916965","https://openalex.org/W3188982020","https://openalex.org/W3200804773","https://openalex.org/W3203220801","https://openalex.org/W3206166950","https://openalex.org/W4200630998","https://openalex.org/W4283732568","https://openalex.org/W4285120549","https://openalex.org/W4285601006","https://openalex.org/W4287614078","https://openalex.org/W4287812705","https://openalex.org/W4287829537","https://openalex.org/W4294170691","https://openalex.org/W4322614756","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6640212811","https://openalex.org/W6730084236","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6748799445","https://openalex.org/W6752999927","https://openalex.org/W6753198114","https://openalex.org/W6754278344","https://openalex.org/W6762122294","https://openalex.org/W6763701032","https://openalex.org/W6774097426","https://openalex.org/W6774670964","https://openalex.org/W6776700526","https://openalex.org/W6779326418","https://openalex.org/W6779997284","https://openalex.org/W6783961830","https://openalex.org/W6783990618","https://openalex.org/W6784874100","https://openalex.org/W6792919013","https://openalex.org/W6805851246","https://openalex.org/W6841246528"],"related_works":["https://openalex.org/W2787993192","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W2847365777","https://openalex.org/W3128025644","https://openalex.org/W2355048207","https://openalex.org/W2750422482","https://openalex.org/W3125827053","https://openalex.org/W2920521957","https://openalex.org/W4214882840"],"abstract_inverted_index":{"Given":[0],"the":[1,7,24,37,52,55,71,102,117,121,127,131,135,141,151,156,170,208,220,233,245],"fact":[2],"descriptions":[3],"of":[4,19,26,40,51,172,212,237],"legal":[5,8],"cases,":[6],"judgment":[9,17],"prediction":[10],"(LJP)":[11],"problem":[12,74],"aims":[13],"to":[14,47,100,124,145,159,168,192,206,216,244],"determine":[15],"three":[16],"tasks":[18,59],"law":[20],"articles,":[21],"charges,":[22],"and":[23,60,84,106,203,210,235],"term":[25],"penalty.":[27],"Most":[28],"existing":[29],"studies":[30],"have":[31],"considered":[32],"task":[33,123],"dependencies":[34,39,57],"while":[35],"neglecting":[36],"prior":[38],"labels":[41,61],"among":[42,58],"different":[43],"tasks.":[44],"Therefore,":[45],"how":[46],"make":[48],"better":[49],"use":[50],"information":[53],"on":[54,81,130,228],"relation":[56,129],"becomes":[62],"a":[63,76,96,181],"crucial":[64],"issue.":[65],"To":[66,133],"this":[67],"end,":[68],"we":[69,93,115,139,179],"transform":[70],"text":[72],"classification":[73,78,137],"into":[75],"node":[77,136,152],"framework":[79,158],"based":[80],"graph":[82,97,112],"reasoning":[83,98],"supervised":[85],"contrastive":[86,177],"learning":[87,109],"(SCL)":[88],"techniques,":[89],"named":[90],"GraSCL.":[91],"Specifically,":[92],"first":[94],"design":[95],"network":[99],"model":[101],"potential":[103],"dependency":[104],"structures":[105],"facilitate":[107],"relational":[108],"under":[110],"various":[111],"topologies.":[113],"Then,":[114],"introduce":[116,180],"SCL":[118,143,149,195,201,240],"method":[119,144,202],"for":[120,148],"LJP":[122],"further":[125,217],"leverage":[126],"label":[128],"graph.":[132],"accommodate":[134],"settings,":[138],"extend":[140],"traditional":[142],"novel":[146],"variants":[147],"at":[150],"level,":[153],"which":[154],"allows":[155],"GraSCL":[157],"be":[160],"trained":[161],"efficiently":[162],"even":[163],"with":[164],"small":[165],"batches.":[166],"Furthermore,":[167],"recognize":[169],"importance":[171],"hard":[173,188],"negative":[174,189,213],"samples":[175],"in":[176,219],"learning,":[178],"simple":[182],"yet":[183],"effective":[184],"technique":[185,198],"called":[186],"online":[187],"mining":[190],"(OHNM)":[191],"enhance":[193],"our":[194,200,238],"approach.":[196],"This":[197],"complements":[199],"enables":[204],"us":[205],"control":[207],"number":[209],"complexity":[211],"samples,":[214],"leading":[215],"improvements":[218],"model's":[221],"performance.":[222],"Finally,":[223],"extensive":[224],"experiments":[225],"are":[226],"conducted":[227],"two":[229],"well-known":[230],"benchmarks,":[231],"demonstrating":[232],"effectiveness":[234],"rationality":[236],"proposed":[239],"approach":[241],"as":[242],"compared":[243],"state-of-the-art":[246],"competitors.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}