{"id":"https://openalex.org/W2798955995","doi":"https://doi.org/10.18653/v1/p18-1012","title":"Towards Understanding the Geometry of Knowledge Graph Embeddings","display_name":"Towards Understanding the Geometry of Knowledge Graph Embeddings","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2798955995","doi":"https://doi.org/10.18653/v1/p18-1012","mag":"2798955995"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-1012","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1012","pdf_url":"https://www.aclweb.org/anthology/P18-1012.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P18-1012.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058722063","display_name":"Chandrahas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chandrahas","raw_affiliation_strings":["Institute of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090297119","display_name":"Aditya Sharma","orcid":"https://orcid.org/0000-0003-3071-9916"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditya Sharma","raw_affiliation_strings":["Indian Institute of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033696194","display_name":"Partha Talukdar","orcid":"https://orcid.org/0000-0001-8825-589X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Partha Talukdar","raw_affiliation_strings":["Indian Institute of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"122","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.996999979019165,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9912999868392944,"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/embedding","display_name":"Embedding","score":0.8580910563468933},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6120374798774719},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.6035786271095276},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5856830477714539},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5825624465942383},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5312473773956299},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5178009271621704},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4560449421405792},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.4496130645275116},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.44458243250846863},{"id":"https://openalex.org/keywords/euclidean-vector","display_name":"Euclidean vector","score":0.4185486137866974},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.4100803732872009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36535409092903137},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.274223268032074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2670063376426697},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2048332393169403}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8580910563468933},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6120374798774719},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.6035786271095276},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5856830477714539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5825624465942383},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5312473773956299},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5178009271621704},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4560449421405792},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.4496130645275116},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.44458243250846863},{"id":"https://openalex.org/C118965365","wikidata":"https://www.wikidata.org/wiki/Q44528","display_name":"Euclidean vector","level":2,"score":0.4185486137866974},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.4100803732872009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36535409092903137},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.274223268032074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2670063376426697},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2048332393169403},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p18-1012","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1012","pdf_url":"https://www.aclweb.org/anthology/P18-1012.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-1012","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1012","pdf_url":"https://www.aclweb.org/anthology/P18-1012.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307894","display_name":"Accenture","ror":"https://ror.org/013g16z83"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798955995.pdf","grobid_xml":"https://content.openalex.org/works/W2798955995.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1533230146","https://openalex.org/W2016753842","https://openalex.org/W2022166150","https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2145544171","https://openalex.org/W2153579005","https://openalex.org/W2184957013","https://openalex.org/W2250635077","https://openalex.org/W2283196293","https://openalex.org/W2432356473","https://openalex.org/W2604314403","https://openalex.org/W2728059831","https://openalex.org/W2759848268","https://openalex.org/W2949972983","https://openalex.org/W2963432357","https://openalex.org/W3031021598","https://openalex.org/W3101896416","https://openalex.org/W3126976873","https://openalex.org/W4293489870","https://openalex.org/W4294170691","https://openalex.org/W4386506836"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2808284704","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2954554213","https://openalex.org/W4206547516","https://openalex.org/W4293236197","https://openalex.org/W2901841427","https://openalex.org/W2106762190"],"abstract_inverted_index":{"Knowledge":[0],"Graph":[1],"(KG)":[2],"embedding":[3,24,28],"has":[4],"emerged":[5],"as":[6,35],"a":[7,38],"very":[8],"active":[9],"area":[10],"of":[11,22,46,57,62],"research":[12],"over":[13],"the":[14,20,77],"last":[15],"few":[16],"years,":[17],"resulting":[18],"in":[19,37,49,67,76],"development":[21],"several":[23],"methods.":[25],"These":[26],"KG":[27,31,47],"methods":[29],"represent":[30],"entities":[32],"and":[33,44,64],"relations":[34],"vectors":[36,66],"high-dimensional":[39],"space.":[40],"Despite":[41],"this":[42,74],"popularity":[43],"effectiveness":[45],"embeddings":[48,59],"various":[50],"tasks":[51],"(e.g.,":[52],"link":[53],"prediction),":[54],"geometric":[55],"understanding":[56],"such":[58],"(i.e.,":[60],"arrangement":[61],"entity":[63],"relation":[65],"vector":[68],"space)":[69],"is":[70],"unexplored":[71],"-we":[72],"fill":[73],"gap":[75],"paper.":[78]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":11}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}