4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 4 cited
Path Neural Networks: Expressive and Accurate Graph Neural Networks
Gaspard Michel, Giannis Nikolentzos, Johannes Lutzeyer +1
Graph neural networks (GNNs) have recently become the standard approach for learning with graph-structured data. Prior work has shed light into their potential, but also their limi…
cs.LG2022
Time Series Forecasting Models Copy the Past: How to Mitigate
Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu +1
Time series forecasting is at the core of important application domains posing significant challenges to machine learning algorithms. Recently neural network architectures have bee…