Technical Program

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SPTM-L2: Graph Representations and Analysis

Session Type: Lecture
Time: Tuesday, 5 May, 11:30 - 13:30
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chair: Danilo Mandic, Imperial College London
 
 SPTM-L2.1: NODE-ASYNCHRONOUS SPECTRAL CLUSTERING ON DIRECTED GRAPHS
         Oguzhan Teke; California Institute of Technology
         P. P. Vaidyanathan; California Institute of Technology
 
 SPTM-L2.2: ESTIMATING CENTRALITY BLINDLY FROM LOW-PASS FILTERED GRAPH SIGNALS
         Yiran He; Chinese University of Hong Kong
         Hoi To Wai; Chinese University of Hong Kong
 
 SPTM-L2.3: BLIND INFERENCE OF CENTRALITY RANKINGS FROM GRAPH SIGNALS
         T. Mitchell Roddenberry; Rice University
         Santiago Segarra; Rice University
 
 SPTM-L2.4: A LOW-DIMENSIONALITY METHOD FOR DATA-DRIVEN GRAPH LEARNING
         Ljubisa Stankovic; University of Montenegro
         Milos Dakovic; University of Montenegro
         Danilo P. Mandic; Imperial College London
         Milos Brajovic; University of Montenegro
         Bruno Scalzo-Dees; Imperial College London
         Anthony G. Constantinides; Imperial College London
 
 SPTM-L2.5: METRIC REPRESENTATIONS OF NETWORKS: A UNIQUENESS RESULT
         Santiago Segarra; Rice University
         T. Mitchell Roddenberry; Rice University
         Facundo Memoli; Ohio State University
         Alejandro Ribeiro; University of Pennsylvania
 
 SPTM-L2.6: ON THE STABILITY OF POLYNOMIAL SPECTRAL GRAPH FILTERS
         Henry Kenlay; University of Oxford
         Dorina Thanou; Swiss Data Science Center
         Xiaowen Dong; University of Oxford