We use message passing neural networks (a generalization of graph neural networks ... since this is a vector input (see Appendix Table 5 of the paper for all data types). To use the fully connected ...

After exectution, importance scores are stored in the 'edge_mask.txt' file of the data folder. The detected disease subnetworks can be found within the 'communities.txt' file, and the corresponding ...

Abstract: Graph neural networks (GNNs) have been widely used in many fields. Inductive learning has replaced transductive learning as the current mainstream paradigm for GNN training due to its higher ...

These topology-driven DL techniques have notably improved data-driven analysis and mining problems, especially within graph datasets. Recently, graph neural networks (GNNs) have emerged as a popular ...