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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

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Showing 51–100 of 156 papers

TitleStatusHype
Regex Queries over Incomplete Knowledge BasesCode0
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning—0
Knowledge Base Completion for Constructing Problem-Oriented Medical RecordsCode1
Tensor Decompositions for temporal knowledge base completionCode1
OxKBC: Outcome Explanation for Factorization Based Knowledge Base CompletionCode0
Revisiting Evaluation of Knowledge Base Completion Models—0
Mining Commonsense Facts from the Physical World—0
Knowledge Graph Embedding via Graph Attenuated Attention Networks—0
Reasoning Over Paths via Knowledge Base Completion—0
Commonsense Knowledge Base Completion with Structural and Semantic ContextCode0
Projected Canonical Decomposition for Knowledge Base Completion—0
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph ReasoningCode0
Text-Based Joint Prediction of Numeric and Categorical Attributes of Entities in Knowledge Bases—0
Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation—0
Distributional Negative Sampling for Knowledge Base Completion—0
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion—0
Meta Reasoning over Knowledge Graphs—0
Modeling Paths for Explainable Knowledge Base CompletionCode0
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns—0
Learning Attention-based Embeddings for Relation Prediction in Knowledge GraphsCode0
Neural Markov Logic Networks—0
Neural Consciousness FlowCode0
Path Ranking with Attention to Type HierarchiesCode0
Riemannian TransE: Multi-relational Graph Embedding in Non-Euclidean Space—0
Scene Graph Prediction with Limited LabelsCode0
Fact Discovery from Knowledge Base via Facet DecompositionCode0
Augmentic Compositional Models for Knowledge Base Completion Using Gradient Representations—0
Embedding Cardinality Constraints in Neural Link Predictors—0
Learning Relation Representations from Word Representations—0
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language InferenceCode0
Learning from positive and unlabeled data: a surveyCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations—0
On Evaluating Embedding Models for Knowledge Base Completion—0
Modeling relation paths for knowledge base completion via joint adversarial trainingCode0
Commonsense Knowledge Base Completion and Generation—0
Knowledge Graph Embedding with Hierarchical Relation Structure—0
Semantically Enhanced Models for Commonsense Knowledge Acquisition—0
Embedding Multimodal Relational Data for Knowledge Base CompletionCode0
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion—0
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning—0
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection—0
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge BasesCode0
Relation Induction in Word Embeddings Revisited—0
Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base CompletionCode0
Type-Sensitive Knowledge Base Inference Without Explicit Type SupervisionCode0
A Comparative Study of Distributional and Symbolic Paradigms for Relational LearningCode0
Interpreting Embedding Models of Knowledge Bases: A Pedagogical ApproachCode0
Canonical Tensor Decomposition for Knowledge Base CompletionCode1
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs—0
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