Graph Neural Networks (GNNs) have become the de-facto standard tool for
...
Two main families of node feature augmentation schemes have been explore...
Many Graph Neural Networks (GNNs) perform poorly compared to simple
heur...
Subgraph GNNs are a recent class of expressive Graph Neural Networks (GN...
Message-passing neural networks (MPNNs) are the leading architecture for...
Graph Neural Networks (GNNs) are limited in their expressive power, stru...
The pairwise interaction paradigm of graph machine learning has predomin...
Graph Neural Networks (GNNs) have recently become increasingly popular d...
While Graph Neural Networks (GNNs) have achieved remarkable results in a...
Geometric deep learning, a novel class of machine learning algorithms
ex...
Drug repositioning is an attractive cost-efficient strategy for the
deve...
Social media are nowadays one of the main news sources for millions of p...