Knowledge Graph Inference using Tensor Embedding Article Swipe
Ankur Padia
,
Kostantinos Kalpakis
,
Francis Ferraro
,
Tim Finin
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.13016/m2uhmo-tytu
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.13016/m2uhmo-tytu
Axiom based inference provides a clear and consistent way of reasoning to add more information to a knowledge graph. However, constructing a set of axioms is expensive and requires domain expertise, time, and money. It is also difficult to reuse or adapt a set of axioms to a knowledge graph in a new domain or even in the same domain but using a slightly different representation approach. This work makes three main contributions, it (1) provides a family of representation learning algorithms and an extensive analysis on eight datasets; (2) yields better results than existing tensor and neural models; and (3) includes a provably convergent factorization algorithm.
Related Topics
Concepts
Inference
Axiom
Computer science
Theoretical computer science
Embedding
Graph
Knowledge representation and reasoning
Domain knowledge
Domain (mathematical analysis)
Artificial intelligence
Representation (politics)
Machine learning
Mathematics
Law
Politics
Political science
Geometry
Mathematical analysis
Metadata
- Type
- article
- Language
- en
- Landing Page
- http://hdl.handle.net/11603/21282
- http://hdl.handle.net/11603/21282
- OA Status
- green
- References
- 4
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3118691194
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3118691194Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.13016/m2uhmo-tytuDigital Object Identifier
- Title
-
Knowledge Graph Inference using Tensor EmbeddingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-09-12Full publication date if available
- Authors
-
Ankur Padia, Kostantinos Kalpakis, Francis Ferraro, Tim FininList of authors in order
- Landing page
-
https://hdl.handle.net/11603/21282Publisher landing page
- PDF URL
-
https://hdl.handle.net/11603/21282Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://hdl.handle.net/11603/21282Direct OA link when available
- Concepts
-
Inference, Axiom, Computer science, Theoretical computer science, Embedding, Graph, Knowledge representation and reasoning, Domain knowledge, Domain (mathematical analysis), Artificial intelligence, Representation (politics), Machine learning, Mathematics, Law, Politics, Political science, Geometry, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
4Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3118691194 |
|---|---|
| doi | https://doi.org/10.13016/m2uhmo-tytu |
| ids.doi | https://doi.org/10.13016/m2uhmo-tytu |
| ids.mag | 3118691194 |
| ids.openalex | https://openalex.org/W3118691194 |
| fwci | |
| type | article |
| title | Knowledge Graph Inference using Tensor Embedding |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11273 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9991999864578247 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Advanced Graph Neural Networks |
| topics[1].id | https://openalex.org/T10028 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9976999759674072 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Topic Modeling |
| topics[2].id | https://openalex.org/T11714 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9972000122070312 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1707 |
| topics[2].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[2].display_name | Multimodal Machine Learning Applications |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2776214188 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6915915012359619 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q408386 |
| concepts[0].display_name | Inference |
| concepts[1].id | https://openalex.org/C167729594 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6713306307792664 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q17736 |
| concepts[1].display_name | Axiom |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.6580815315246582 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C80444323 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5964168310165405 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2878974 |
| concepts[3].display_name | Theoretical computer science |
| concepts[4].id | https://openalex.org/C41608201 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5800905227661133 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q980509 |
| concepts[4].display_name | Embedding |
| concepts[5].id | https://openalex.org/C132525143 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5302994251251221 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q141488 |
| concepts[5].display_name | Graph |
| concepts[6].id | https://openalex.org/C161301231 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5028981566429138 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q3478658 |
| concepts[6].display_name | Knowledge representation and reasoning |
| concepts[7].id | https://openalex.org/C207685749 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4969365894794464 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q2088941 |
| concepts[7].display_name | Domain knowledge |
| concepts[8].id | https://openalex.org/C36503486 |
| concepts[8].level | 2 |
| concepts[8].score | 0.44864118099212646 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11235244 |
| concepts[8].display_name | Domain (mathematical analysis) |
| concepts[9].id | https://openalex.org/C154945302 |
| concepts[9].level | 1 |
| concepts[9].score | 0.4318326711654663 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[9].display_name | Artificial intelligence |
| concepts[10].id | https://openalex.org/C2776359362 |
| concepts[10].level | 3 |
| concepts[10].score | 0.41406774520874023 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q2145286 |
| concepts[10].display_name | Representation (politics) |
| concepts[11].id | https://openalex.org/C119857082 |
| concepts[11].level | 1 |
| concepts[11].score | 0.33270853757858276 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[11].display_name | Machine learning |
| concepts[12].id | https://openalex.org/C33923547 |
| concepts[12].level | 0 |
| concepts[12].score | 0.2797623872756958 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[12].display_name | Mathematics |
| concepts[13].id | https://openalex.org/C199539241 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q7748 |
| concepts[13].display_name | Law |
| concepts[14].id | https://openalex.org/C94625758 |
| concepts[14].level | 2 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q7163 |
| concepts[14].display_name | Politics |
| concepts[15].id | https://openalex.org/C17744445 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[15].display_name | Political science |
| concepts[16].id | https://openalex.org/C2524010 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[16].display_name | Geometry |
| concepts[17].id | https://openalex.org/C134306372 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[17].display_name | Mathematical analysis |
| keywords[0].id | https://openalex.org/keywords/inference |
| keywords[0].score | 0.6915915012359619 |
| keywords[0].display_name | Inference |
| keywords[1].id | https://openalex.org/keywords/axiom |
| keywords[1].score | 0.6713306307792664 |
| keywords[1].display_name | Axiom |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.6580815315246582 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/theoretical-computer-science |
| keywords[3].score | 0.5964168310165405 |
| keywords[3].display_name | Theoretical computer science |
| keywords[4].id | https://openalex.org/keywords/embedding |
| keywords[4].score | 0.5800905227661133 |
| keywords[4].display_name | Embedding |
| keywords[5].id | https://openalex.org/keywords/graph |
| keywords[5].score | 0.5302994251251221 |
| keywords[5].display_name | Graph |
| keywords[6].id | https://openalex.org/keywords/knowledge-representation-and-reasoning |
| keywords[6].score | 0.5028981566429138 |
| keywords[6].display_name | Knowledge representation and reasoning |
| keywords[7].id | https://openalex.org/keywords/domain-knowledge |
| keywords[7].score | 0.4969365894794464 |
| keywords[7].display_name | Domain knowledge |
| keywords[8].id | https://openalex.org/keywords/domain |
| keywords[8].score | 0.44864118099212646 |
| keywords[8].display_name | Domain (mathematical analysis) |
| keywords[9].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[9].score | 0.4318326711654663 |
| keywords[9].display_name | Artificial intelligence |
| keywords[10].id | https://openalex.org/keywords/representation |
| keywords[10].score | 0.41406774520874023 |
| keywords[10].display_name | Representation (politics) |
| keywords[11].id | https://openalex.org/keywords/machine-learning |
| keywords[11].score | 0.33270853757858276 |
| keywords[11].display_name | Machine learning |
| keywords[12].id | https://openalex.org/keywords/mathematics |
| keywords[12].score | 0.2797623872756958 |
| keywords[12].display_name | Mathematics |
| language | en |
| locations[0].id | pmh:oai:mdsoar.org:11603/21282 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402556 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Maryland Shared Open Access Repository (USMAI Consortium) |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | |
| locations[0].pdf_url | http://hdl.handle.net/11603/21282 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | Text |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://hdl.handle.net/11603/21282 |
| locations[1].id | mag:3118691194 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306420732 |
| locations[1].source.issn | |
| locations[1].source.type | conference |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | Principles of Knowledge Representation and Reasoning |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | Principles of Knowledge Representation and Reasoning |
| locations[1].landing_page_url | https://ebiquity.umbc.edu/get/a/publication/1032.pdf |
| locations[2].id | doi:10.13016/m2liqg-p4hy |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306402644 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Digital Repository at the University of Maryland (University of Maryland College Park) |
| locations[2].source.host_organization | https://openalex.org/I66946132 |
| locations[2].source.host_organization_name | University of Maryland, College Park |
| locations[2].source.host_organization_lineage | https://openalex.org/I66946132 |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://doi.org/10.13016/m2liqg-p4hy |
| locations[3].id | doi:10.13016/m2uhmo-tytu |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S4306402644 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | Digital Repository at the University of Maryland (University of Maryland College Park) |
| locations[3].source.host_organization | https://openalex.org/I66946132 |
| locations[3].source.host_organization_name | University of Maryland, College Park |
| locations[3].source.host_organization_lineage | https://openalex.org/I66946132 |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | |
| locations[3].raw_type | article |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | |
| locations[3].raw_source_name | |
| locations[3].landing_page_url | https://doi.org/10.13016/m2uhmo-tytu |
| indexed_in | datacite |
| authorships[0].author.id | https://openalex.org/A5062295984 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Ankur Padia |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I79272384 |
| authorships[0].affiliations[0].raw_affiliation_string | University of Maryland, Baltimore County, Baltimore, United States |
| authorships[0].institutions[0].id | https://openalex.org/I79272384 |
| authorships[0].institutions[0].ror | https://ror.org/02qskvh78 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I79272384 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | University of Maryland, Baltimore County |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ankur Padia |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | University of Maryland, Baltimore County, Baltimore, United States |
| authorships[1].author.id | https://openalex.org/A5068370591 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Kostantinos Kalpakis |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Kostantinos Kalpakis |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5056541993 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-2413-9368 |
| authorships[2].author.display_name | Francis Ferraro |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I79272384 |
| authorships[2].affiliations[0].raw_affiliation_string | University of Maryland, Baltimore County, Baltimore, United States |
| authorships[2].institutions[0].id | https://openalex.org/I79272384 |
| authorships[2].institutions[0].ror | https://ror.org/02qskvh78 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I79272384 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | University of Maryland, Baltimore County |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Francis Ferraro |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | University of Maryland, Baltimore County, Baltimore, United States |
| authorships[3].author.id | https://openalex.org/A5009972149 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Tim Finin |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I79272384 |
| authorships[3].affiliations[0].raw_affiliation_string | University of Maryland, Baltimore County, Baltimore, United States |
| authorships[3].institutions[0].id | https://openalex.org/I79272384 |
| authorships[3].institutions[0].ror | https://ror.org/02qskvh78 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I79272384 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | University of Maryland, Baltimore County |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Tim Finin |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | University of Maryland, Baltimore County, Baltimore, United States |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | http://hdl.handle.net/11603/21282 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Knowledge Graph Inference using Tensor Embedding |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11273 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9991999864578247 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Advanced Graph Neural Networks |
| related_works | https://openalex.org/W2997355448, https://openalex.org/W3205799547, https://openalex.org/W2963534707, https://openalex.org/W2953898811, https://openalex.org/W2019477905, https://openalex.org/W3185705705, https://openalex.org/W1521729451, https://openalex.org/W2185643138, https://openalex.org/W1566831970, https://openalex.org/W2043408366, https://openalex.org/W2884967713, https://openalex.org/W2940953645, https://openalex.org/W1813119196, https://openalex.org/W2952995550, https://openalex.org/W2103890614, https://openalex.org/W14254835, https://openalex.org/W2344678689, https://openalex.org/W1600005058, https://openalex.org/W2082996500, https://openalex.org/W2176981155 |
| cited_by_count | 0 |
| locations_count | 4 |
| best_oa_location.id | pmh:oai:mdsoar.org:11603/21282 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402556 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Maryland Shared Open Access Repository (USMAI Consortium) |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | |
| best_oa_location.pdf_url | http://hdl.handle.net/11603/21282 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://hdl.handle.net/11603/21282 |
| primary_location.id | pmh:oai:mdsoar.org:11603/21282 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402556 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Maryland Shared Open Access Repository (USMAI Consortium) |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | |
| primary_location.pdf_url | http://hdl.handle.net/11603/21282 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | Text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://hdl.handle.net/11603/21282 |
| publication_date | 2020-09-12 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W205829674, https://openalex.org/W2163922914, https://openalex.org/W2127426251, https://openalex.org/W2911847446 |
| referenced_works_count | 4 |
| abstract_inverted_index.a | 4, 16, 21, 42, 47, 51, 62, 76, 102 |
| abstract_inverted_index.It | 34 |
| abstract_inverted_index.an | 83 |
| abstract_inverted_index.in | 50, 56 |
| abstract_inverted_index.is | 25, 35 |
| abstract_inverted_index.it | 73 |
| abstract_inverted_index.of | 9, 23, 44, 78 |
| abstract_inverted_index.on | 86 |
| abstract_inverted_index.or | 40, 54 |
| abstract_inverted_index.to | 11, 15, 38, 46 |
| abstract_inverted_index.(1) | 74 |
| abstract_inverted_index.(2) | 89 |
| abstract_inverted_index.(3) | 100 |
| abstract_inverted_index.add | 12 |
| abstract_inverted_index.and | 6, 27, 32, 82, 96, 99 |
| abstract_inverted_index.but | 60 |
| abstract_inverted_index.new | 52 |
| abstract_inverted_index.set | 22, 43 |
| abstract_inverted_index.the | 57 |
| abstract_inverted_index.way | 8 |
| abstract_inverted_index.This | 67 |
| abstract_inverted_index.also | 36 |
| abstract_inverted_index.even | 55 |
| abstract_inverted_index.main | 71 |
| abstract_inverted_index.more | 13 |
| abstract_inverted_index.same | 58 |
| abstract_inverted_index.than | 93 |
| abstract_inverted_index.work | 68 |
| abstract_inverted_index.Axiom | 0 |
| abstract_inverted_index.adapt | 41 |
| abstract_inverted_index.based | 1 |
| abstract_inverted_index.clear | 5 |
| abstract_inverted_index.eight | 87 |
| abstract_inverted_index.graph | 49 |
| abstract_inverted_index.makes | 69 |
| abstract_inverted_index.reuse | 39 |
| abstract_inverted_index.three | 70 |
| abstract_inverted_index.time, | 31 |
| abstract_inverted_index.using | 61 |
| abstract_inverted_index.axioms | 24, 45 |
| abstract_inverted_index.better | 91 |
| abstract_inverted_index.domain | 29, 53, 59 |
| abstract_inverted_index.family | 77 |
| abstract_inverted_index.graph. | 18 |
| abstract_inverted_index.money. | 33 |
| abstract_inverted_index.neural | 97 |
| abstract_inverted_index.tensor | 95 |
| abstract_inverted_index.yields | 90 |
| abstract_inverted_index.models; | 98 |
| abstract_inverted_index.results | 92 |
| abstract_inverted_index.However, | 19 |
| abstract_inverted_index.analysis | 85 |
| abstract_inverted_index.existing | 94 |
| abstract_inverted_index.includes | 101 |
| abstract_inverted_index.learning | 80 |
| abstract_inverted_index.provably | 103 |
| abstract_inverted_index.provides | 3, 75 |
| abstract_inverted_index.requires | 28 |
| abstract_inverted_index.slightly | 63 |
| abstract_inverted_index.approach. | 66 |
| abstract_inverted_index.datasets; | 88 |
| abstract_inverted_index.different | 64 |
| abstract_inverted_index.difficult | 37 |
| abstract_inverted_index.expensive | 26 |
| abstract_inverted_index.extensive | 84 |
| abstract_inverted_index.inference | 2 |
| abstract_inverted_index.knowledge | 17, 48 |
| abstract_inverted_index.reasoning | 10 |
| abstract_inverted_index.algorithm. | 106 |
| abstract_inverted_index.algorithms | 81 |
| abstract_inverted_index.consistent | 7 |
| abstract_inverted_index.convergent | 104 |
| abstract_inverted_index.expertise, | 30 |
| abstract_inverted_index.information | 14 |
| abstract_inverted_index.constructing | 20 |
| abstract_inverted_index.factorization | 105 |
| abstract_inverted_index.contributions, | 72 |
| abstract_inverted_index.representation | 65, 79 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile |