An inductive logic programming system
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Updated
Oct 25, 2026 - Python
An inductive logic programming system
Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms
Symbolic Reinforcement Learning using Inductive Logic Programming
(Explainable AI) - Learning Non-Monotonic Logic Programs From Statistical Models Using High-Utility Itemset Mining
📏 Logic rule learning for computer networking
Top-down induction of first-order logical decision trees: master AI thesis implementation
A novel Inductive Logic Programming(ILP) system based on Meta Inverse Entailment in Python.
Source code related to the ILP 2019 paper 'LazyBum: Decision tree learning using lazy propositionalization'
BotGNN: Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment
C. Hocquette, A. Niskanen, M Järvisalo, and Andrew Cropper, Learning MDL Logic Programs From Noisy Data, AAAI24.
Vertex-Enriched Graph Neural Network (VEGNN)
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