A survey of signal processing based graph learning techniques

被引：0

作者：

Subbareddy, B. ^{[1
]}

Reddy, P. Charantej ^{[1
]}

Siripuram, Aditya ^{[1
]}

Zhang, Jingxin ^{[2
]}

机构：

[1] Indian Inst Technol Hyderabad, Hyderabad, India

[2] Swinburne Univ Technol, Melbourne, Vic, Australia

来源：

2019 1ST INTERNATIONAL CONFERENCE ON INDUSTRIAL ARTIFICIAL INTELLIGENCE (IAI 2019) | 2019年

关键词：

Graph signal processing; graph learning; network topology inference; sparse signal processing; MODEL SELECTION; INFERENCE; SPARSE;

D O I：

10.1109/iciai.2019.8850827

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recent advances in technology have led to easy data acquisition mechanisms in many fields, leading to massive datasets. It is often of interest to understand the inherent structure and learn the best representation of the given dataset. Graphs are a powerful way to model interrelationships between data features - well constructed meaningful graphs help in representing and processing the data effectively. The graph topology needs to be inferred from the observed data. In this survey, we briefly explore signal processing based graph learning approaches that have been proposed in the literature and propose new research directions.

引用

页数：6

共 50 条

[41] Robust Graph Signal Processing in the Presence of Uncertainties on Graph Topology [J].

Ceci, Elena ;

Barbarossa, Sergio .

2018 IEEE 19TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2018, :656-660

[42] Transform Learning Assisted Graph Signal Processing for Low Rate Electrical Load Disaggregation [J].

Kumar, Kriti ;

Chandra, M. Girish .

28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020), 2021, :1673-1677

[43] Early Detection of Alzheimer's Disease Using Graph Signal Processing and Deep Learning [J].

Padole, Himanshu ;

Joshi, S. D. ;

Gandhi, Tapan K. .

INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2022, 31 (03) :1655-1669

[44] BRAIN SIGNAL ANALYTICS FROM GRAPH SIGNAL PROCESSING PERSPECTIVE [J].

Goldsberry, Leah ;

Huang, Weiyu ;

Wymbs, Nicholas F. ;

Grafton, Scott T. ;

Bassettt, Danielle S. ;

Ribeiro, Alejandro .

2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, :851-855

[45] Adaptive sign algorithm for graph signal processing [J].

Yan, Yi ;

Kuruoglu, Ercan E. ;

Altinkaya, Mustafa A. .

SIGNAL PROCESSING, 2022, 200

[46] Parallel Graph Signal Processing: Sampling and Reconstruction [J].

Dapena, Daniela ;

Lau, Daniel L. L. ;

Arce, Gonzalo R. R. .

IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2023, 9 :190-206

[47] Rating Prediction via Graph Signal Processing [J].

Huang, Weiyu ;

Marques, Antonio G. ;

Ribeiro, Alejandro R. .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (19) :5066-5081

[48] DISCRETE SIGNAL PROCESSING ON GRAPHS: GRAPH FILTERS [J].

Sandryhaila, Aliaksei ;

Moura, Jose M. F. .

2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, :6163-6166

[49] SIGNAL PROCESSING ON GRAPHS: ESTIMATING THE STRUCTURE OF A GRAPH [J].

Mei, Jonathan ;

Moura, Jose M. F. .

2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), 2015, :5495-5499

[50] Collaborative Filtering via Graph Signal Processing [J].

Huang, Weiyu ;

Marques, Antonio G. ;

Ribeiro, Alejandro .

2017 25TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2017, :1694-1698

← 1 2 3 4 5 →