2 papers
cs.LG2023
Network Embedding Using Sparse Approximations of Random Walks
Paula Mercurio, Di Liu
In this paper, we propose an efficient numerical implementation of Network Embedding based on commute times, using sparse approximation of a diffusion process on the network obtain…
math.NA2020
Identifying Transition States of Chemical Kinetic Systems using Network Embedding Techniques
Paula Mercurio, Di Liu
Using random walk sampling methods for feature learning on networks, we develop a method for generating low-dimensional node embeddings for directed graphs and identifying transiti…