Applications of Graph Networks

Data Science, AI and ML
#1

Given the wide range of domains in which GNNs can be applied, most of them could either be classified as structural applications or as non-structural applications based on the type of data. The structural case represents data that has an inherent structure to it such social interaction networks or molecular networks. Consequently, the non-structural scenarios represent cases where the structure in the data is not explicit such as text and images. In these non-structural scenarios then, the general approach is to try to transform the data to a structured format and then apply GNN. There are a few other applications as well that do not fall into the purview of either of the classes mentioned above. We will discuss some interesting applications from each of these categories here.

  1. Physical Systems
  2. Chemistry
  3. Image classification
  4. Text
  5. Combinatorial Optimization