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Signal Recovery on Graphs: Variation Minimization

26 November 2014

Papers citing "Signal Recovery on Graphs: Variation Minimization"

50 / 59 papers shown

Title
Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches Alexandre Hippert-Ferrer Aude Sportisse A. Javaheri Mohammed Nabil El Korso Daniel P. Palomar AI4TS 67 0 0 02 Jun 2025
Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming Haruki Yokota Hiroshi Higashi Yuichi Tanaka Gene Cheung 40 0 0 02 Jun 2025
Lightweight Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast Ji Qi Tam Thuc Do Mingxiao Liu Zhuoshi Pan Yuzhe Li Gene Cheung H. Vicky Zhao AI4TS 19 0 0 19 May 2025
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes Keyue Jiang Bohan Tang Xiaowen Dong Laura Toni 68 1 0 11 Mar 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 204 4 0 28 Oct 2024
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning D. Nguyen Konstantinos Slavakis Dimitris Pados 57 0 0 08 Sep 2024
Robust Offline Active Learning on Graphs Yuanchen Wu Yubai Yuan OffRL 48 0 0 15 Aug 2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction Jhon A. Castro-Correa Jhony H. Giraldo Mohsen Badiey Fragkiskos D. Malliaros 76 11 0 28 Mar 2024
Multilinear Kernel Regression and Imputation via Manifold Learning D. Nguyen Konstantinos Slavakis 47 2 0 06 Feb 2024
Joint Signal Recovery and Graph Learning from Incomplete Time-Series Amirhossein Javaheri Arash Amini F. Marvasti Daniel P. Palomar 51 3 0 28 Dec 2023
Retinex-based Image Denoising / Contrast Enhancement using Gradient Graph Laplacian Regularizer Yeganeh Gharedaghi Gene Cheung Xianming Liu 31 5 0 05 Jul 2023
Distributional Signals for Node Classification in Graph Neural Networks Feng Ji See Hian Lee Kai Zhao Wee Peng Tay Jielong Yang 39 2 0 07 Apr 2023
Learning Optimal Graph Filters for Clustering of Attributed Graphs Meiby Ortiz-Bouza Selin Aviyente GNN 102 1 0 09 Nov 2022
When Do We Need Graph Neural Networks for Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Xiaoming Chang Doina Precup 70 0 0 30 Oct 2022
Efficient Signed Graph Sampling via Balancing & Gershgorin Disc Perfect Alignment Chinthaka Dinesh Gene Cheung Saghar Bagheri Ivan V. Bajić 49 3 0 18 Aug 2022
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction Saghar Bagheri Chinthaka Dinesh Gene Cheung T. Eadie 36 1 0 04 Aug 2022
Abstract message passing and distributed graph signal processing Feng Ji Y. Lu Wee Peng Tay Edwin K. P. Chong 110 0 0 09 Jun 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 103 12 0 10 Feb 2022
Stratified Graph Spectra Fanchao Meng M. Orr Samarth Swarup 130 0 0 10 Jan 2022
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction Itai Lang Dvir Ginzburg S. Avidan D. Raviv 3DPC 89 33 0 16 Oct 2021
Graph Signal Restoration Using Nested Deep Algorithm Unrolling Masatoshi Nagahama Koki Yamada Yuichi Tanaka Stanley H. Chan Yonina C. Eldar 53 20 0 30 Jun 2021
Signal processing on simplicial complexes Michael T. Schaub Jean-Baptiste Seby Florian Frantzen T. Roddenberry Yu Zhu Santiago Segarra 58 18 0 14 Jun 2021
Graphmax for Text Generation Bin Liu Guosheng Yin 55 2 0 01 Jan 2021
Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks N. Emirov Cheng Cheng Qiyu Sun Z. Qu 25 4 0 23 Nov 2020
Graph Signal Recovery Using Restricted Boltzmann Machines Ankith Mohan A. Nakano Emilio Ferrara 45 4 0 20 Nov 2020
Sampling and Recovery of Graph Signals based on Graph Neural Networks Siheng Chen Maosen Li Ya Zhang 139 4 0 03 Nov 2020
A Local Search Framework for Experimental Design L. Lau Hong Zhou 34 9 0 29 Oct 2020
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives Guoji Fu Buse Giledereli Jian Zhang Kaili Ma Barakeel Fanseu Kamhoua James Cheng 56 18 0 08 Jun 2020
MC2G: An Efficient Algorithm for Matrix Completion with Social and Item Similarity Graphs Q. Zhang Geewon Suh Changho Suh Vincent Y. F. Tan 48 15 0 08 Jun 2020
Bayesian Graph Neural Networks with Adaptive Connection Sampling Arman Hasanzadeh Ehsan Hajiramezanali Shahin Boluki Mingyuan Zhou N. Duffield Krishna R. Narayanan Xiaoning Qian BDL 89 118 0 07 Jun 2020
Learning Product Graphs Underlying Smooth Graph Signals M. Lodhi W. Bajwa 37 9 0 26 Feb 2020
Recursive Prediction of Graph Signals with Incoming Nodes Arun Venkitaraman Saikat Chatterjee B. Wahlberg 41 7 0 26 Nov 2019
Mumford-Shah functionals on graphs and their asymptotics M. Caroccia A. Chambolle D. Slepčev 60 22 0 22 Jun 2019
Generalization error bounds for kernel matrix completion and extrapolation Pere Giménez-Febrer A. Pagés-Zamora G. Giannakis 67 8 0 20 Jun 2019
Vector-Valued Graph Trend Filtering with Non-Convex Penalties R. Varma Harlin Lee J. Kovacevic Yuejie Chi 96 33 0 29 May 2019
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering Siheng Chen Chaojing Duan Yaoqing Yang Duanshun Li Chen Feng Dong Tian 3DPC 94 73 0 11 May 2019
Classifying Partially Labeled Networked Data via Logistic Network Lasso Nguyen Tran Henrik Ambos A. Jung 132 10 0 26 Mar 2019
Fractional spectral graph wavelets and their applications Jiasong Wu Fuzhi Wu Qihan Yang Youyong Kong Xilin Liu Yan Zhang L. Senhadji H. Shu 24 24 0 27 Feb 2019
Semi-supervised Learning in Network-Structured Data via Total Variation Minimization A. Jung A. Hero III Alexandru Mara Saeed Jahromi Ayelet Heimowitz Yonina C. Eldar 69 31 0 28 Jan 2019
Matrix completion and extrapolation via kernel regression Pere Giménez-Febrer A. Pagés-Zamora G. Giannakis 38 13 0 01 Aug 2018
The Logistic Network Lasso Henrik Ambos Nguyen Tran A. Jung 62 6 0 07 May 2018
On The Complexity of Sparse Label Propagation A. Jung 89 10 0 25 Apr 2018
On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization Pin-Yu Chen Dennis L. Wei 132 5 0 09 Apr 2018
Extreme Learning Machine for Graph Signal Processing Arun Venkitaraman Saikat Chatterjee P. Händel AI4TS 25 2 0 12 Mar 2018
Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach Zeyuan Allen-Zhu Yuanzhi Li Aarti Singh Yining Wang 84 59 0 14 Nov 2017
When is Network Lasso Accurate: The Vector Case Nguyen Tran Saeed Basirian A. Jung 39 2 0 11 Oct 2017
A Connectedness Constraint for Learning Sparse Graphs Martin Sundin Arun Venkitaraman M. Jansson Saikat Chatterjee 83 14 0 29 Aug 2017
When is Network Lasso Accurate? A. Jung Nguyen Tran Quang Alexandru Mara 129 40 0 07 Apr 2017
Robust Semi-Supervised Graph Classifier Learning with Negative Edge Weights Gene Cheung Weng-Tai Su Yu Mao Chia-Wen Lin 71 31 0 15 Nov 2016
The Power of Side-information in Subgraph Detection Arun Kadavankandy Konstantin Avrachenkov L. Cottatellucci R. Sundaresan 60 14 0 10 Nov 2016