E-grāmata: Inductive Logic Programming: 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings

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.