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Inductive logic programming

Papers

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Showing 101–150 of 153 papers

TitleStatusHype
Inductive logic programming at 30—0
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming—0
Iterative Learning of Answer Set Programs from Context Dependent Examples—0
kLog: A Language for Logical and Relational Learning with Kernels—0
Learning Algorithms via Neural Logic Networks—0
Learning Description Logic Ontologies. Five Approaches. Where Do They Stand?—0
Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification—0
Learning First-Order Rules with Differentiable Logic Program Semantics—0
Learning Higher-Order Programs without Meta-Interpretive Learning—0
Learning large logic programs by going beyond entailment—0
Learning logic programs by explaining their failures—0
Learning logic programs by finding minimal unsatisfiable subprograms—0
Learning Logic Programs From Noisy Failures—0
Incorporating Symbolic Domain Knowledge into Graph Neural NetworksCode0
Learning MDL logic programs from noisy dataCode0
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct ExamplesCode0
Incremental Learning of Event Definitions with Inductive Logic ProgrammingCode0
Differentiable Inductive Logic Programming in High-Dimensional SpaceCode0
Learning logic programs by combining programsCode0
FF-NSL: Feed-Forward Neural-Symbolic LearnerCode0
Expressive Explanations of DNNs by Combining Concept Analysis with ILPCode0
Induction of Non-Monotonic Rules From Statistical Learning Models Using High-Utility Itemset MiningCode0
Learning Robust Reward Machines from Noisy LabelsCode0
Inductive general game playingCode0
Learning Rules Explaining Interactive Theorem Proving Tactic PredictionCode0
Learning Rules with Stratified Negation in Differentiable ILP.Code0
User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER DiagramsCode0
Inductive Learning of Robot Task Knowledge from Raw Data and Online Expert FeedbackCode0
Composition of Relational Features with an Application to Explaining Black-Box PredictorsCode0
Learn to Explain Efficiently via Neural Logic Inductive LearningCode0
Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse EntailmentCode0
Inductive Logic Programming via Differentiable Deep Neural Logic NetworksCode0
Lifting Symmetry Breaking Constraints with Inductive Logic ProgrammingCode0
Temporal Inductive Logic Reasoning over HypergraphsCode0
RuDaS: Synthetic Datasets for Rule Learning and Evaluation ToolsCode0
Knowledge Refactoring for Inductive Program SynthesisCode0
Online Learning of Event DefinitionsCode0
Learning big logical rules by joining small rulesCode0
Symbolic Graph Embedding using Frequent Pattern MiningCode0
Towards meta-interpretive learning of programming language semanticsCode0
Learning Explanatory Rules from Noisy DataCode0
Towards One-Shot Learning for Text Classification using Inductive Logic ProgrammingCode0
Generalisation Through Negation and Predicate InventionCode0
Explanatory machine learning for sequential human teachingCode0
Neural Logic Reinforcement LearningCode0
Learning logic programs by discovering higher-order abstractionsCode0
Learning logic programs by discovering where not to searchCode0
Distributed Online Learning of Event DefinitionsCode0
Relational decomposition for program synthesisCode0
A Model for Intelligible Interaction Between Agents That Predict and ExplainCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AMIE+H-Score0.23—Unverified
2FOILH-Score0.15—Unverified
3Neural-LPH-Score0.1—Unverified
4NTPH-Score0.07—Unverified