SPTM-P11: Graph Signal Processing: Methods (I)
Poster
Wed, 6 May, 16:30 - 18:30
Location: Poster Area 1
Session Type: Poster
Track: Signal Processing Theory and Methods [TM]
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SPTM-P11.2: ADAPTIVE SPECTRAL GRAPH PARTITIONING FOR PORTFOLIO OPTIMISATION

Tina Dionysiou, Giorgos Iacovides, Wuyang Zhou, Tony Constantinides, Danilo Mandic, Imperial College London, United Kingdom of Great Britain and Northern Ireland

SPTM-P11.3: Topological Signal Processing for 3D Point Cloud Data

Tiziana Cattai, Sapienza University of Rome, Italy, Italy; Stefania Sardellitti, Universitas Mercatorum, Rome, Italy, Italy; Stefania Colonnese, Sergio Barbarossa, Sapienza University of Rome, Italy, Italy

SPTM-P11.4: Gromov-Wasserstein Graph Coarsening

Carlos A Taveras, Santiago Segarra, César A Uribe, Rice University, United States of America

SPTM-P11.5: CONVOLUTIONAL GRAPH FILTER DESIGN FOR SIGNED GRAPHS

Abdullah Karaaslanli, Selin Aviyente, Michigan State University, United States of America

SPTM-P11.6: Learning Optimal Graph Filters for Clustering of Attributed Graphs

Meiby Ortiz-Bouza, Selin Aviyente, Michigan State University, United States of America

SPTM-P11.7: DATA-DRIVEN GRAPH FILTERS VIA ADAPTIVE SPECTRAL SHAPING

Dylan Sandfelder, University of Oxford, United Kingdom of Great Britain and Northern Ireland; Mihai Cucuringu, University of California, Los Angeles, United States of America; Xiaowen Dong, University of Oxford, United Kingdom of Great Britain and Northern Ireland

SPTM-P11.9: HILBERT TRANSFORM ON GRAPHS: LET THERE BE PHASE

Chun Hei Michael Chan, Alexandre Cionca, Dimitri Van De Ville, Ecole Polytechnique Fédérale de Lausanne, Switzerland

SPTM-P11.10: GRAPH LAPLACIAN LEARNING WITH EXPONENTIAL FAMILY NOISE

Changhao Shi, Gal Mishne, University of California San Diego, United States of America