Predicting node labels on a given graph is a widely studied problem with...
We consider finding flat, local minimizers by adding average weight
pert...
Multitask learning is widely used in practice to train a low-resource ta...
Suppose there is a spreading process such as an infectious disease
propa...
Graph neural networks are widely used tools for graph prediction tasks.
...
We consider transfer learning approaches that fine-tune a pretrained dee...
A widely used algorithm for transfer learning is fine-tuning, where a
pr...