Graphs are used to model complex systems ... For example, GNNs can be used for node classification tasks, in which the goal is to assign a label to each node in the graph based on its features ...

Classic Graph Convolutional Networks ... Experiments show that their model outperforms all the baselines in both single- and multi-label node classification tasks in terms of test accuracies.

classification and clustering is beneficial. Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of ...