activity
20172020
most citedExplain Graph Neural Networks to Understand Weighted Graph Features in Node Classification

4 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.IR2020

A Robust Reputation-based Group Ranking System and its Resistance to Bribery

Joao Saude, Guilherme Ramos, Ludovico Boratto +1

The spread of online reviews and opinions and its growing influence on people's behavior and decisions, boosted the interest to extract meaningful information from this data deluge…

cs.SI20204 cited

Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification

Xiaoxiao Li, Joao Saude

Real data collected from different applications that have additional topological structures and connection information are amenable to be represented as a weighted graph. Consideri…

math.AP2018

Fourier Approximation Methods for First-Order Nonlocal Mean-Field Games

Levon Nurbekyan, Joao Saude

In this note, we develop Fourier approximation methods for the solutions of first-order nonlocal mean-field games (MFG) systems. Using Fourier expansion techniques, we approximate…

cs.IR20172 cited

Recommendation via matrix completion using Kolmogorov complexity

Guilherme Ramos, Joao Saude, Carlos Caleiro +1

A usual way to model a recommendation system is as a matrix completion problem. There are several matrix completion methods, typically using optimization approaches or collaborativ…

cs.IR2017

Robust reputation-based ranking on multipartite rating networks

João Saúde, Guilherme Ramos, Carlos Caleiro +1

The spread of online reviews, ratings and opinions and its growing influence on people's behavior and decisions boosted the interest to extract meaningful information from this dat…