Frontiers

Multimodal graph neural networks in healthcare: a review of fusion strategies across ...

1 Department of Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, United States 2 Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, United States ...
IEEE

Graph neural networks with dual-stream cooperative learning of node and edge

Abstract: Graph neural networks (GNNs) have assumed a pivotal role in advancing the domain of graph structure learning, particularly in undirected weighted graphs (UWGs). However, current GNNs ...
IEEE

Graph Neural Networks With Interaction-Aware View Fusion for Graph Classification

Abstract: Graph neural networks (GNNs) have demonstrated outstanding performance in graph classification tasks. Most existing GNNs designed for graph classification adopt a structure that combines ...