1 code implementation • 2 Sep 2022 • Alexandre Duval, Fragkiskos Malliaros
Graph Neural Networks achieve state-of-the-art performance on a plethora of graph classification tasks, especially due to pooling operators, which aggregate learned node embeddings hierarchically into a final graph representation.
1 code implementation • WS 2018 • Konstantinos Skianis, Fragkiskos Malliaros, Michalis Vazirgiannis
Contrary to the traditional Bag-of-Words approach, we consider the Graph-of-Words(GoW) model in which each document is represented by a graph that encodes relationships between the different terms.