119 citations · 148 across the 11 of their papers we have counts for
11 papers
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases
Henrique Lemos, Pedro Avelar, Marcelo Prates +2
The recent developments and growing interest in neural-symbolic models has shown that hybrid approaches can offer richer models for Artificial Intelligence. The integration of effe…
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
Luis C. Lamb, Artur Garcez, Marco Gori +3
Neural-symbolic computing has now become the subject of interest of both academic and industry research laboratories. Graph Neural Networks (GNN) have been widely used in relationa…
Think Again Networks and the Delta Loss
Alexandre Salle, Marcelo Prates
This short paper introduces an abstraction called Think Again Networks (ThinkNet) which can be applied to any state-dependent function (such as a recurrent neural network).
Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems
Henrique Lemos, Marcelo Prates, Pedro Avelar +1
Deep learning has consistently defied state-of-the-art techniques in many fields over the last decade. However, we are just beginning to understand the capabilities of neural learn…
Typed Graph Networks
Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos +2
Recently, the deep learning community has given growing attention to neural architectures engineered to learn problems in relational domains. Convolutional Neural Networks employ p…
Neural Networks Models for Analyzing Magic: the Gathering Cards
Felipe Zilio, Marcelo Prates, Luis Lamb
Historically, games of all kinds have often been the subject of study in scientific works of Computer Science, including the field of machine learning. By using machine learning te…
Problem Solving at the Edge of Chaos: Entropy, Puzzles and the Sudoku Freezing Transition
Marcelo Prates, Luis Lamb
Sudoku is a widely popular -Complete combinatorial puzzle whose prospects for studying human computation have recently received attention, but the algorithmic hardnes…
On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals
Marcelo Prates, Pedro Avelar, Luis C. Lamb
Recent developments in AI, Machine Learning and Robotics have raised concerns about the ethical consequences of both academic and industrial AI research. Leading academics, busines…
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network
Pedro H. C. Avelar, Henrique Lemos, Marcelo O. R. Prates +1
The application of deep learning to symbolic domains remains an active research endeavour. Graph neural networks (GNN), consisting of trained neural modules which can be arranged i…
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP
Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos +2
Graph Neural Networks (GNN) are a promising technique for bridging differential programming and combinatorial domains. GNNs employ trainable modules which can be assembled in diffe…
Assessing Gender Bias in Machine Translation -- A Case Study with Google Translate
Marcelo O. R. Prates, Pedro H. C. Avelar, Luis Lamb
Recently there has been a growing concern about machine bias, where trained statistical models grow to reflect controversial societal asymmetries, such as gender or racial bias. A…