SOTAVerified

Knowledge Base Completion

Knowledge base completion is the task which automatically infers missing facts by reasoning about the information already present in the knowledge base. A knowledge base is a collection of relational facts, often represented in the form of "subject", "relation", "object"-triples.

Papers

Showing 131140 of 156 papers

TitleStatusHype
Instance-based Learning for Knowledge Base CompletionCode0
Interpretable and Compositional Relation Learning by Joint Training with an AutoencoderCode0
Interpreting Embedding Models of Knowledge Bases: A Pedagogical ApproachCode0
IntKB: A Verifiable Interactive Framework for Knowledge Base CompletionCode0
Joint Matrix-Tensor Factorization for Knowledge Base InferenceCode0
KBGAN: Adversarial Learning for Knowledge Graph EmbeddingsCode0
KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical FeaturesCode0
Temporal Knowledge Base Completion: New Algorithms and Evaluation ProtocolsCode0
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge BasesCode0
Knowledge Base Completion: Baseline strikes back (Again)Code0
Show:102550
← PrevPage 14 of 16Next →

No leaderboard results yet.