Lifted Relational Neural Networks

[1508.05128] Lifted Relational Neural Networks - arXiv

We propose a method combining relational-logic representations with neural network learning. A general lifted architecture, possibly reflecting some background ...

Lifted Relational Neural Networks: Efficient Learning of Latent ...

Abstract. We propose a method to combine the interpretability and expressive power of firstorder logic with the effectiveness of neural network ...

Lifted Relational Neural Networks - CEUR-WS

The lifted patterns are typically encoded in relational logic-based languages. Here we contribute a method for (deep) lifted feed-forward neural network ...

Lifted Relational Neural Networks - Gustav Šír

A custom framework for deep relational learning, written completely from scratch in Java (with a Python frontend in progress).

[2007.06286] Beyond Graph Neural Networks with Lifted Relational ...

We demonstrate a declarative differentiable programming framework based on the language of Lifted Relational Neural Networks.

IOS Press Ebooks - Chapter 15. Lifted Relational Neural Networks

Lifted Relational Neural Networks (LRNNs) were introduced in 2015 [1] as a framework for combining logic programming with neural networks for efficient learning ...

Lifted relational neural networks: efficient learning of latent relational ...

We propose a method to combine the interpretability and expressive power of first-order logic with the effectiveness of neural network learning.

Lifted Relational Neural Networks - NASA/ADS

We propose a method combining relational-logic representations with neural network learning. A general lifted architecture, possibly reflecting some ...

[PDF] Lifted Relational Neural Networks - Semantic Scholar

A method combining relational-logic representations with neural network learning, which allows for hierarchical relational modeling constructs and learning ...

(PDF) Lifted Relational Neural Networks: Efficient Learning of Latent ...

Lifted relational neural networks (LRNNs) are a flexible neural-symbolic framework based on the idea of lifted modelling. In this paper we show how LRNNs can be ...

Lifted Relational Neural Networks: Efficient Learning of Latent ...

Abstract. We propose a method to combine the interpretability and expressive power of first- order logic with the effectiveness of neural network learning.

Lifted Relational Neural Networks - The Intelligent Data Analysis lab

Lifted Relational Neural Networks. In Proceedings of the 2015th International Conference on Cognitive Computation: Integrating Neural and Symbolic ...

(PDF) Lifted Relational Neural Networks - ResearchGate

PDF | We propose a method combining relational-logic representations with deep neural network learning. Domain-specific knowledge is described.

Lifted relational neural networks - ACM Digital Library

We propose a method combining relational-logic representations with neural network learning. A general lifted architecture, possibly reflecting some background ...

View of Lifted Relational Neural Networks

Return to Article Details Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures Download Download PDF. Thumbnails Document ...

Beyond graph neural networks with lifted relational neural networks

A generalization from sequential to regularly tree-structured data was then popularized with Recursive Neural Networks (Socher et al. 2013b).

Stacked Structure Learning for Lifted Relational Neural Networks

Abstract. Lifted Relational Neural Networks (LRNNs) describe rela- tional domains using weighted first-order rules which act as templates.

Beyond Graph Neural Networks with Lifted Relational ... - YouTube

In this talk, Gustav Sir introduces a declarative differentiable programming framework based on the language of Lifted Relational Neural ...

Lifted Relational Neural Networks - Semantic Scholar

What are Lifted Relational Neural Networks? 2. Learning Predictive Categories with LRNNs. 2. Page 3. Motivation. • How to learn with relational or graph ...

Lifted relational neural networks: efficient learning of latent ... - -ORCA

Lifted relational neural networks: efficient learning of latent relational structures. Sourek, Gustav, Aschenbrenner, Vojtech, Zelezny, Filip, Schockaert ...