2023
Incorporating Reliability in Graph Information Propagation by Fluid Dynamics Diffusion: A case of Multimodal Semisupervised Deep Learning
ICASSP 2023accepted
Classic graph neural networks show some limitations in information extraction performance when applied to multimodal datasets. This is primarily due to such datasets having high volume, variety, and variability. In this paper, we propose structuring graph neural networks on a new graph representatio…