Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge
Fanizzi Automatic Conjecturing of P-Recursions Using Lifted Inference
Machine learning of microbial interactions using Abductive ILP and Hypothesis Frequency/Compression Estimation
Answer-Set Programs for Reasoning about Counterfactual Interventions and Responsibility Scores for Classification
Reyes Synthetic Datasets and Evaluation Tools for Inductive Neural Reasoning
Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design
Non-Parametric Learning of Embeddings for Relational Data using Gaifman Locality Theorem
Ontology Graph Embeddings and ILP for Financial Forecasting
Transfer learning for boosted relational dependency networks through genetic algorithm
Online Learning of Logic Based Neural Network Structures
Programmatic policy extraction by iterative local search
Mapping across relational domains for transfer learning with word embeddings-based similarity
A First Step Towards Even More Sparse Encodings of Probability Distributions
Feature Learning by Least Generalization
Learning Logic Programs Using Neural Networks by Exploiting Symbolic Invariance
Learning and revising dynamic temporal theories in the full Discrete Event Calculus
Human-like rule learning from images using one-shot hypothesis derivation
Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits
A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics.