We have 2 of 6 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
A unified, mode-wise stability framework for deep GNN propagation that provides a principled characterization of over-smoothing is developed and Stability-Shaped Deep Graph Learning (SDGL) is proposed to mitigate over-smoothing in deep GNNs.
This work presents CRAFTER (Corrective Residual Agent with Feature-based Temporal Exploration and Reasoning), which keeps the backbone frozen and mines its residual with two complementary generators: a compositional search over the raw input channels, and a large language model that proposes named feature combinations,...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
