Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities

Antonio Longa, Veronica Lachi, Gabriele Santin +5

Graph Neural Networks (GNNs) have become the leading paradigm for learning on (static) graph-structured data. However, many real-world systems are dynamic in nature, since the grap…