Learning Generalized Hessian on Graphs for Continuous Graph Learning
Abstract In this work, we propose HbInOut (Hessian-based Influx Outflux), a continuous graph neural network for graph learning and graph ensemble (snapshot) learning. HbInOut models diffusion on graphs by incorporating flow -based priors in its forward-pass construction and includes directionality through learnable inf...