Towards Standardizing AI Bias Exploration

no code implementations • 29 May 2024 • Emmanouil Krasanakis, Symeon Papadopoulos

Creating fair AI systems is a complex problem that involves the assessment of context-dependent bias concerns.

Fairness

Graph Neural Network Surrogates of Fair Graph Filtering

no code implementations • 14 Mar 2023 • Emmanouil Krasanakis, Symeon Papadopoulos

Graph filters that transform prior node values to posterior scores via edge propagation often support graph mining tasks affecting humans, such as recommendation and ranking.

Fairness Graph Mining +1

p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks

1 code implementation • 29 Nov 2021 • Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris

In this work, we aim to classify nodes of unstructured peer-to-peer networks with communication uncertainty, such as users of decentralized social networks.

Graph Neural Network Node Classification

pygrank: A Python Package for Graph Node Ranking

1 code implementation • 18 Oct 2021 • Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris, Andreas Symeonidis

We introduce pygrank, an open source Python package to define, run and evaluate node ranking algorithms.