18 citations · 22 across the 7 of their papers we have counts for
7 papers
Neural Algorithmic Reasoning with Multiple Correct Solutions
Zeno Kujawa, John Poole, Dobrik Georgiev +3
Neural Algorithmic Reasoning (NAR) extends classical algorithms to higher dimensional data. However, canonical implementations of NAR train neural networks to return only a single…
Reasoning Algorithmically in Graph Neural Networks
Danilo Numeroso
The development of artificial intelligence systems with advanced reasoning capabilities represents a persistent and long-standing research question. Traditionally, the primary stra…
Neural Algorithmic Reasoning for Combinatorial Optimisation
Dobrik Georgiev, Danilo Numeroso, Davide Bacciu +1
Solving NP-hard/complete combinatorial problems with neural networks is a challenging research area that aims to surpass classical approximate algorithms. The long-term objective i…
Dual Algorithmic Reasoning
Danilo Numeroso, Davide Bacciu, Petar Veličković
Neural Algorithmic Reasoning is an emerging area of machine learning which seeks to infuse algorithmic computation in neural networks, typically by training neural models to approx…
Learning heuristics for A*
Danilo Numeroso, Davide Bacciu, Petar Veličković
Path finding in graphs is one of the most studied classes of problems in computer science. In this context, search algorithms are often extended with heuristics for a more efficien…
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks
Danilo Numeroso, Davide Bacciu
Explainable AI (XAI) is a research area whose objective is to increase trustworthiness and to enlighten the hidden mechanism of opaque machine learning techniques. This becomes inc…