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05/05/2020
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...
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02/29/2020
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
Neural-symbolic computing has now become the subject of interest of both...
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03/11/2019
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...
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01/23/2019
Typed Graph Networks
Recently, the deep learning community has given growing attention to neu...
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10/08/2018
Neural Networks Models for Analyzing Magic: the Gathering Cards
Historically, games of all kinds have often been the subject of study in...
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10/08/2018
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...
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09/11/2018
Multitask Learning on Graph Neural Networks - Learning Multiple Graph Centrality Measures with a Unified Network
The application of deep learning to symbolic domains remains an active r...
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09/08/2018
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP
Graph Neural Networks (GNN) are a promising technique for bridging diffe...
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09/08/2018
Learning to Solve NP-Complete Problems - A Graph Neural Network for the Decision TSP
Graph Neural Networks (GNN) are a promising technique for bridging diffe...
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09/06/2018
