78 citations · 283 across the 39 of their papers we have counts for
5 papers · 1 filter
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,…
AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification
Vasileios Iosifidis, Symeon Papadopoulos, Bodo Rosenhahn +1
Class imbalance poses a major challenge for machine learning as most supervised learning models might exhibit bias towards the majority class and under-perform in the minority clas…
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…
LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting
Christos Koutlis, Symeon Papadopoulos, Manos Schinas +1
Multivariate time series forecasting is of great importance to many scientific disciplines and industrial sectors. The evolution of a multivariate time series depends on the dynami…