Search Results for author:
Found 2 papers, 0 papers with code
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective
These insights have empowered us to develop a novel GNN backbone model, DGAT, designed to harness the robust properties of both graph self-attention mechanism and the decoupled architecture.
Black-box Generalization of Machine Teaching
An inherent assumption is that this learning manner can derive those updates into the optimal hypothesis.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
