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Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases
The recent developments and growing interest in neural-symbolic models h...
05/05/2020 ∙ by Henrique Lemos, et al. ∙
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Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
Neural-symbolic computing has now become the subject of interest of both...
02/29/2020 ∙ by Luis Lamb, et al. ∙
69
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Think Again Networks and the Delta Loss
This short paper introduces an abstraction called Think Again Networks (...
04/26/2019 ∙ by Alexandre Salle, et al. ∙
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Think Again Networks, the Delta Loss, and an Application in Language Modeling
This short paper introduces an abstraction called Think Again Networks (...
04/26/2019 ∙ by Alexandre Salle, et al. ∙
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Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems
Deep learning has consistently defied state-of-the-art techniques in man...
03/11/2019 ∙ by Henrique Lemos, et al. ∙
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Neural Networks Models for Analyzing Magic: the Gathering Cards
Historically, games of all kinds have often been the subject of study in...
10/08/2018 ∙ by Felipe Zilio, et al. ∙
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Problem Solving at the Edge of Chaos: Entropy, Puzzles and the Sudoku Freezing Transition
Sudoku is a widely popular NP-Complete combinatorial puzzle whose prospe...
10/08/2018 ∙ by Marcelo Prates, et al. ∙
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On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals
Recent developments in AI, Machine Learning and Robotics have raised con...
09/21/2018 ∙ by Marcelo Prates, et al. ∙
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