SPTM-P10: Graph Signal Processing: Methods and Applications
Poster
Wed, 6 May, 14:00 - 16:00
Location: Poster Area 2
Session Type: Poster
Session Chair: Gene Cheung, York University
Track: Signal Processing Theory and Methods [TM]
Click the to view the manuscript on IEEE Xplore Open Preview
 

SPTM-P10.1: Robust Tensor Decomposition for Joint multiview Graph Learning and Community Detection
Mohammad Al-wardat, Selin Aviyente, michigan state university, United States of America
 

SPTM-P10.2: IMPORTANCE OF BALANCE: LIGHTWEIGHT TRANSFORMER VIA SIGNED GRAPH ALGORITHM UNROLLING FOR EEG SIGNAL DENOISING
Junyi Yao, Peking University, China; Parham Eftekhar, Gene Cheung, York University, Australia; Wei Hu, Peking Univercity, China; Chris Liu, Yao Wang, New York University, United States of America
 

SPTM-P10.3: Crop Classification in Satellite Images via First Eigenvector of Learned Signed Graph Laplacian
Parham Eftekhar, Gene Cheung, York University, Canada; Timothy Eadie, Zenith Analytica, Canada
 

SPTM-P10.4: SMART GRID TOPOLOGY INFERENCE VIA LOCATIONAL MARGINAL PRICES AND GRAPH-BASED VOLTAGE INTERPOLATION
Mingnan Su, Junfei Wang, York University, Canada; David Tay, Deakin University, Australia; Gene Cheung, Pirathayini Srikantha, York University, Canada

SPTM-P10.5: MPHR: A Robust Algorithm for Estimating Nodal Head in Water Networks
Amin Maggang, David Tay, Jinzhe Gong, Brendan Josey, Deakin University, Australia

SPTM-P10.6: V 2R 2 : HIERARCHICAL DUAL-VIEW CONSISTENCY WITH DUAL-REPRESENTATIONS FOR NETWORK ALIGNMENT
Weiguo Chen, Changjian Wang, Zekun Tao, Zeyun Zhao, Zhiyan Wang, Yuan Yuan, Libo Huang, National University of Defense Technology, China
 

SPTM-P10.7: GRAPH NEURAL NETWORKS IN LARGE SCALE WIRELESS COMMUNICATION NETWORKS: SCALABILITY ACROSS RANDOM GEOMETRIC GRAPHS
Romina Garcia Camargo, University of Pennsylvania, United States of America; Zhiyang Wang, University of California San Diego, United States of America; Alejandro Ribeiro, University of Pennsylvania, United States of America
 

SPTM-P10.8: BEYOND PIXELS: A VECTOR-TO-GRAPH FRAMEWORK FOR RELIABLE SCHEMATIC AUDITING
Chengwei Ma, Zhen Tian, Zhou Zhou, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), China; Zhixian Xu, Xiaowei Zhu, Guangdong Power Grid Co., Ltd., Yangjiang Power Supply Bureau, China; Xia Hua, Shanghai University, China; Si Shi, F. Richard Yu, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), China
 

SPTM-P10.9: Graph Signal Generative Diffusion Models
Yigit Berkay Uslu, Samar Hadou, University of Pennsylvania, United States of America; Sergio Rozada, King Juan Carlos University, Spain; Shirin Saeedi Bidokhti, Alejandro Ribeiro, University of Pennsylvania, United States of America

SPTM-P10.10: MULTI-ATTRIBUTE GRAPH LEARNING FOR GEOSCIENCE APPLICATIONS
Surabhi Soni, Prabhu Babu, Indian Institute of Technology Delhi, India