153 citations · 158 across the 6 of their papers we have counts for
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cs.LG2022
Hypergraphs with Edge-Dependent Vertex Weights: p-Laplacians and Spectral Clustering
Yu Zhu, Santiago Segarra
We study p-Laplacians and spectral clustering for a recently proposed hypergraph model that incorporates edge-dependent vertex weights (EDVW). These weights can reflect different i…
cs.LG2021
An Impossibility Theorem for Node Embedding
T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
With the increasing popularity of graph-based methods for dimensionality reduction and representation learning, node embedding functions have become important objects of study in t…
cs.LG2021★ 1 cited
Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling
Yu Zhu, Ananthram Swami, Santiago Segarra
A widely established set of unsupervised node embedding methods can be interpreted as consisting of two distinctive steps: i) the definition of a similarity matrix based on the gra…