Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Differentiable Learning of Logical Rules for Knowledge Base Completion
Reasoning With Neural Tensor Networks for Knowledge Base Completion
Event-Enhanced Learning for KG Completion
Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances
Neighborhood Mixture Model for Knowledge Base Completion
Embedding Multimodal Relational Data for Knowledge Base Completion
Learning Possibilistic Logic Theories from Default Rules
Knowledge base completion using embeddings and rules
Global Learning of Typed Entailment Rules
Recurrent Neural Network Embedding for Knowledgebase Completion
A new belief rule base knowledge representation scheme and inference methodology using the evidential reasoning rule for evidence combination
Probabilistic Logic Learning
Knowledge base completion by learning pairwise-interaction differentiated embeddings
Open-World Knowledge Graph Completion
Foundations of Rule Learning
Closed-Form Solutions in Learning Probabilistic Logic Programs by Exact Score Maximization
Bayesian Logic Programming: Theory and Tool
An Approach to Solve Winograd Schema Challenge Using Automatically Extracted Commonsense Knowledge
Logical Rule Induction and Theory Learning Using Neural Theorem Proving
Lifted Probabilistic Inference by First-Order Knowledge Compilation
Domain-specific languages in Prolog for declarative expert knowledge in rules and ontologies
vocal communication of emotion : a review of research paradigms .
Judgment Extremity and Accuracy Under Epistemic vs. Aleatory Uncertainty
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
the no - prop algorithm : a new learning algorithm for multilayer neural networks .
A viability approach for fast recursive feasible finite horizon path planning of autonomous RC cars