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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results