2 citations · 2 across the 2 of their papers we have counts for
4 papers
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces
Chao Pan, Eli Chien, Puoya Tabaghi +2
Many high-dimensional practical data sets have hierarchical structures induced by graphs or time series. Such data sets are hard to process in Euclidean spaces and one often seeks…
Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction
Anuththari Gamage, Eli Chien, Jianhao Peng +1
Generative graph models create instances of graphs that mimic the properties of real-world networks. Generative models are successful at retaining pairwise associations in the unde…
Online Convex Matrix Factorization with Representative Regions
Abhishek Agarwal, Jianhao Peng, Olgica Milenkovic
Matrix factorization (MF) is a versatile learning method that has found wide applications in various data-driven disciplines. Still, many MF algorithms do not adequately scale with…
Large-Margin Classification in Hyperbolic Space
Hyunghoon Cho, Benjamin DeMeo, Jian Peng +1
Representing data in hyperbolic space can effectively capture latent hierarchical relationships. With the goal of enabling accurate classification of points in hyperbolic space whi…