22 citations · 37 across the 8 of their papers we have counts for
4 papers · 1 filter
Towards Standardizing AI Bias Exploration
Emmanouil Krasanakis, Symeon Papadopoulos
Creating fair AI systems is a complex problem that involves the assessment of context-dependent bias concerns. Existing research and programming libraries express specific concerns…
Graph Neural Network Surrogates of Fair Graph Filtering
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. Thus,…
p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks
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 Networks (…
pygrank: A Python Package for Graph Node Ranking
Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris +1
We introduce pygrank, an open source Python package to define, run and evaluate node ranking algorithms. We provide object-oriented and extensively unit-tested algorithm components…