Association·arcadia

GNNs accommodate relational complexity in biological data

GNNs are able to handle complex relational structures found in biological data, beyond simple adjacency or grids.

Confidence
100%
active

Evidence Quote

GNNs inherently accommodate these complexities

Relationship

Graph Neural Networks (GNNs) accommodates Relational complexity in biological data

Evidence

Reference to Bronstein MM, Bruna J, LeCun Y, Szlam A, Vandergheynst P. (2017), discussing geometric deep learning beyond Euclidean data.

Bronstein, M.M. et al. (2017). Geometric Deep Learning: Going beyond Euclidean data doi:10.1109/msp.2017.2693418

Reference to Corso G, Stark H, Jegelka S, Jaakkola T, Barzilay R. (2024), about graph neural networks.

Corso, G. et al. (2024). Graph neural networks doi:10.1038/s43586-024-00294-7