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Activity Details

69 Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Network Analysis — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Adam Rothman, University of Minnesota
Bias-Variance Tradeoffs in Joint Spectral Embeddings
Benjamin Draves, Boston University; Daniel L Sussman, Boston University
Graph Matching via Mutual Nearest Neighbors
Zihuan Qiao, Boston University; Daniel L Sussman, Boston University
Statistical Analysis and Methods for Human Connectomes
Daniel Kessler, University of Michigan; Elizaveta Levina, University of Michigan; Keith Levin, University of Michigan, Department of Statistics
Estimating Latent Space Geometry of Network Formation Models
Shane Lubold, Department of Statistics, University of Washington; Tyler McCormick, University of Washington; Arun Chandrasekhar, Stanford University
Anomaly Detection on Complex Networks via Topological Data Analysis
Ignacio Segovia-Dominguez, The University of Texas at Dallas; Dorcas Ofori-Boateng, NASA Jet Propulsion Laboratory; Cuneyt Gurcan Akcora, University of Manitoba; Murat Kantarcioglu, The University of Texas at Dallas; Yulia Gel, University of Texas at Dallas
Network Structure Inference from Grouped Data
Yunpeng Zhao, Arizona State Univ; Peter Bickel, University of California, Berkeley; Charles Weko, U.S. Army
High-Order Embedding for Hyperlink Network Prediction
Yubai Yuan, University of Illinois at Urbana-Champaign; Annie Qu, University of California Irvine