research

Representation Learning

New techniques to learn effective node/graph representations

privacy preserving graph ML

Attacks and defenses for graph neural networks

transparency in graph ML

Interpreting graph neural networks

Deep Learning for biomedicine

Exploiting graph structure for learning over heterogeneous biomedical data

state abstractions in reinforcement learning

Exploiting graph structure in the MDP for learning state abstractions