Graph neural networks have emerged as a leading paradigm for inferring node labels in complex relational data. By extending convolutional and attention operations to arbitrary graph structures, these ...

Graphs naturally represent complex relationships in multimodal datasets including biological and biomedical datasets. For instance, multi-omics datasets can be represented as gene-gene similarity ...