SPTM-P7.10
RECOVERING MISSING NODE FEATURES WITH LOCAL STRUCTURE-BASED EMBEDDINGS
Victor M. Tenorio, King Juan Carlos University, Spain; Madeline Navarro, Santiago Segarra, Rice University, United States of America; Antonio G. Marques, King Juan Carlos University, Spain
Session:
SPTM-P7: Signal Processing over Graphs and Networks Poster
Track:
Signal Processing Theory and Methods
Location:
Poster Zone 6C
Poster Board PZ-6C.10
Poster Board PZ-6C.10
Presentation Time:
Thu, 18 Apr, 08:20 - 10:20 (UTC +9)
Session Co-Chairs:
Elvin Isufi, Delft University of Technology and Santiago Segarra, Rice University, USA
Session SPTM-P7
SPTM-P7.1: MULTI-VIEW INTERACTIVE COMPROMISE LEARNING FOR GROUP RECOMMENDATION
Jiuqiang Li, Shilei Zhu, Southwest Jiaotong University, China
SPTM-P7.2: EVOLUTION BACKCASTING OF EDGE FLOWS FROM PARTIAL OBSERVATIONS USING SIMPLICIAL VECTOR AUTOREGRESSIVE MODELS
Rohan Money, Joshin Krishnan, Baltasar Beferull-Lozano, Simula Metropolitan Center for Digital Engineering, Norway; Elvin Isufi, Delft University of Technology, Netherlands
SPTM-P7.3: ON THE GENERALIZATION ERROR OF BYZANTINE-RESILIENT DECENTRALIZED LEARNING
Haoxiang Ye, Qing Ling, Sun Yat-Sen University, China
SPTM-P7.4: BAYESIAN TOPOLOGY INFERENCE ON PARTIALLY KNOWN NETWORKS FROM INPUT-OUTPUT PAIRS
Martín Sevilla, Santiago Segarra, Rice University, United States of America
SPTM-P7.5: DIRECTED SCATTERING FOR KNOWLEDGE GRAPH-BASED CELLULAR SIGNALING ANALYSIS
Aarthi Venkat, Yale University, United States of America; Joyce Chew, University of California, Los Angeles, United States of America; Ferran Cardoso Rodriguez, Christopher Tape, University College London Cancer Institute, United Kingdom of Great Britain and Northern Ireland; Michael Perlmutter, Boise State University, United States of America; Smita Krishnaswamy, Yale University, United States of America
SPTM-P7.6: A JOINT DATA COMPRESSION AND TIME-DELAY ESTIMATION METHOD FOR DISTRIBUTED SYSTEMS VIA EXTREMUM ENCODING
Amir Weiss, Bar-Ilan University, Israel; Yuval Kochman, The Hebrew University of Jerusalem, Israel; Gregory W. Wornell, MIT, United States of America
SPTM-P7.7: CRAMER-RAO BOUND FOR ADMITTANCE MATRIX ESTIMATION UNDER LAPLACIAN CONSTRAINTS
Morad Halihal, Ben-Gurion University of the Negev, Israel; Tirza Routtenberg, Ben Gurion University of the Negev, Israel
SPTM-P7.8: DISENTANGLING THE SPECTRAL PROPERTIES OF THE HODGE LAPLACIAN: NOT ALL SMALL EIGENVALUES ARE EQUAL
Vincent P. Grande, Michael T. Schaub, RWTH Aachen University, Germany
SPTM-P7.9: Tensor Graph Decomposition for Temporal Networks
Bishwadeep Das, Elvin Isufi, Tu Delft, Netherlands
SPTM-P7.10: RECOVERING MISSING NODE FEATURES WITH LOCAL STRUCTURE-BASED EMBEDDINGS
Victor M. Tenorio, King Juan Carlos University, Spain; Madeline Navarro, Santiago Segarra, Rice University, United States of America; Antonio G. Marques, King Juan Carlos University, Spain
SPTM-P7.11: A SPECTRAL ANALYSIS OF GRAPH NEURAL NETWORKS ON DENSE AND SPARSE GRAPHS
Luana Ruiz, Ningyuan Huang, Soledad Villar, Johns Hopkins University, United States of America
SPTM-P7.12: LEARNING STOCHASTIC GRAPH NEURAL NETWORKS WITH CONSTRAINED VARIANCE
Zhan Gao, University of Cambridge, United Kingdom of Great Britain and Northern Ireland; Elvin Isufi, Delft University of Technology, Netherlands
Contacts