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Graph Signal Processing: History, development, impact, and outlook
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-88146-1openalex-snapshot
Statistical Analysis of Network Data: Methods and Models
inferredcites →https://doi.org/10.1007/978-3-030-29349-9_5openalex-snapshot
Approximating Spectral Clustering via Sampling: A Review
inferredcites →https://doi.org/10.1007/978-3-540-45167-9_12openalex-snapshot
Kernels and Regularization on Graphs
inferredcites →https://doi.org/10.1016/0016-0032(81)90029-6openalex-snapshot
Spectra of graphs: theory and application
inferredcites →https://doi.org/10.1016/j.acha.2010.04.005openalex-snapshot
Wavelets on graphs via spectral graph theory
inferredcites →https://doi.org/10.1016/j.neuroimage.2014.07.033openalex-snapshot
Estimating time-varying brain connectivity networks from functional MRI time series
inferredcites →https://doi.org/10.1016/j.neuroimage.2016.12.061openalex-snapshot
The dynamic functional connectome: State-of-the-art and perspectives
inferredcites →https://doi.org/10.1016/j.physrep.2020.05.004openalex-snapshot
Networks beyond pairwise interactions: Structure and dynamics
inferredcites →https://doi.org/10.1016/j.sigpro.2021.108149openalex-snapshot
Signal processing on higher-order networks: Livin’ on the edge... and beyond
inferredcites →https://doi.org/10.1038/s41562-017-0260-9openalex-snapshot
Functional alignment with anatomical networks is associated with cognitive flexibility
inferredcites →https://doi.org/10.1103/physrevlett.86.3200openalex-snapshot
Epidemic Spreading in Scale-Free Networks
inferredcites →https://doi.org/10.1109/iccv.1998.710815openalex-snapshot
Bilateral filtering for gray and color images
inferredcites →https://doi.org/10.1109/infcom.2003.1209207openalex-snapshot
Graph wavelets for spatial traffic analysis
inferredcites →https://doi.org/10.1109/jproc.2018.2798928openalex-snapshot
A Graph Signal Processing Perspective on Functional Brain Imaging
inferredcites →https://doi.org/10.1109/jproc.2018.2799702openalex-snapshot
Graph Spectral Image Processing
inferredcites →https://doi.org/10.1109/jproc.2018.2804318openalex-snapshot
Topology Identification and Learning over Graphs: Accounting for Nonlinearities and Dynamics
inferredcites →https://doi.org/10.1109/jproc.2018.2820126openalex-snapshot
Graph Signal Processing: Overview, Challenges, and Applications
inferredcites →https://doi.org/10.1109/jproc.2021.3055400openalex-snapshot
Graph Neural Networks: Architectures, Stability, and Transferability
inferredcites →https://doi.org/10.1109/msp.2011.2179329openalex-snapshot
A Tour of Modern Image Filtering: New Insights and Methods, Both Practical and Theoretical
inferredcites →https://doi.org/10.1109/msp.2012.2235192openalex-snapshot
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
inferredcites →https://doi.org/10.1109/msp.2014.2329213openalex-snapshot
Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure
inferredcites →https://doi.org/10.1109/msp.2017.2693418openalex-snapshot
Geometric Deep Learning: Going beyond Euclidean data
inferredcites →https://doi.org/10.1109/msp.2018.2887284openalex-snapshot
Learning Graphs From Data: A Signal Representation Perspective
inferredcites →https://doi.org/10.1109/msp.2018.2890143openalex-snapshot
Connecting the Dots: Identifying Network Structure via Graph Signal Processing
inferredcites →https://doi.org/10.1109/msp.2020.3015024openalex-snapshot
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison
inferredcites →https://doi.org/10.1109/msp.2020.3016908openalex-snapshot
Sampling Signals on Graphs: From Theory to Applications
inferredcites →https://doi.org/10.1109/msp.2020.3020715openalex-snapshot
Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]
inferredcites →https://doi.org/10.1109/tip.2008.924284openalex-snapshot
Nonlocal Discrete Regularization on Weighted Graphs: A Framework for Image and Manifold Processing
inferredcites →https://doi.org/10.1109/tip.2014.2378055openalex-snapshot
Multiresolution Graph Fourier Transform for Compression of Piecewise Smooth Images
inferredcites →https://doi.org/10.1109/tip.2016.2575005openalex-snapshot
Compression of 3D Point Clouds Using a Region-Adaptive Hierarchical Transform
inferredcites →https://doi.org/10.1109/tip.2020.3013166openalex-snapshot
Deep Graph-Convolutional Image Denoising
inferredcites →https://doi.org/10.1109/tsipn.2017.2731051openalex-snapshot
Network Topology Inference from Spectral Templates
inferredcites →https://doi.org/10.1109/tsipn.2017.2742940openalex-snapshot
Characterization and Inference of Graph Diffusion Processes From Observations of Stationary Signals
inferredcites →https://doi.org/10.1109/tsipn.2018.2824239openalex-snapshot
Distributed Signal Processing via Chebyshev Polynomial Approximation
inferredcites →https://doi.org/10.1109/tsp.2008.925259openalex-snapshot
Algebraic Signal Processing Theory: 1-D Space
inferredcites →https://doi.org/10.1109/tsp.2008.925261openalex-snapshot
Algebraic Signal Processing Theory: Foundation and 1-D Time
inferredcites →https://doi.org/10.1109/tsp.2013.2238935openalex-snapshot
Discrete Signal Processing on Graphs
inferredcites →https://doi.org/10.1109/tsp.2014.2321121openalex-snapshot
Discrete Signal Processing on Graphs: Frequency Analysis
inferredcites →https://doi.org/10.1109/tsp.2014.2345355openalex-snapshot
Graph Wavelets for Multiscale Community Mining
inferredcites →https://doi.org/10.1109/tsp.2015.2469645openalex-snapshot
Discrete Signal Processing on Graphs: Sampling Theory
inferredcites →https://doi.org/10.1109/tsp.2016.2602809openalex-snapshot
Learning Laplacian Matrix in Smooth Graph Signal Representations
inferredcites →https://doi.org/10.1109/tsp.2016.2614793openalex-snapshot
Autoregressive Moving Average Graph Filtering
inferredcites →https://doi.org/10.1109/tsp.2016.2628343openalex-snapshot
Blind Identification of Graph Filters
inferredcites →https://doi.org/10.1109/tsp.2016.2634543openalex-snapshot
Signal Processing on Graphs: Causal Modeling of Unstructured Data
inferredcites →https://doi.org/10.1109/tsp.2017.2690388openalex-snapshot
Stationary Signal Processing on Graphs
inferredcites →https://doi.org/10.1109/tsp.2017.2703660openalex-snapshot
Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators
inferredcites →https://doi.org/10.1109/tsp.2017.2739099openalex-snapshot
Stationary Graph Processes and Spectral Estimation
inferredcites →https://doi.org/10.1109/tsp.2017.2775589openalex-snapshot
A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs
inferredcites →https://doi.org/10.1109/tsp.2019.2929930openalex-snapshot
Forecasting Time Series With VARMA Recursions on Graphs
inferredcites →https://doi.org/10.1145/218380.218473openalex-snapshot
A signal processing approach to fair surface design
inferredcites →https://doi.org/10.1145/3219819.3220025openalex-snapshot
Learning Structural Node Embeddings via Diffusion Wavelets
inferredcites →https://doi.org/10.1162/089976603321780317openalex-snapshot
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
inferredcites →https://doi.org/10.1561/2200000001openalex-snapshot
Graphical Models, Exponential Families, and Variational Inference
inferredcites →https://doi.org/10.5281/zenodo.1318390openalex-snapshot
Advances In Deep Learning On Graphs (Gsp'18 Workshop)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities
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Analysis of Graph Matched Filters for Higher-Order Diffusion Signals
inferred← citeshttps://doi.org/10.1109/telfor59449.2023.10372784openalex-snapshot
Zero-padding on Connected Directed Acyclic Graphs for Spectral Processing
inferred← citeshttps://doi.org/10.1109/telfor63250.2024.10819105openalex-snapshot
Signal Filtering on Directed Acyclic Graphs
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3435470openalex-snapshot
Dehaze-TGGAN: Transformer-Guide Generative Adversarial Networks With Spatial-Spectrum Attention for Unpaired Remote Sensing Dehazing
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3535096openalex-snapshot
Toward Robust Infrared Small Target Detection via Frequency and Spatial Feature Fusion
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3643427openalex-snapshot
Multidistribution Time-Series Prototype Learning for Crop Mapping With Sentinel-1 SAR Imagery
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3690548openalex-snapshot
Motion-Aware Streaming Tensor Sparsity Regularization Denoising for Remote Sensing Video
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3695405openalex-snapshot
A Novel Fast Time-Domain Algorithm With First-in-First-Out Spectrum Update for High-Frame-Rate Video SAR Imaging on Maneuvering Platform
inferred← citeshttps://doi.org/10.1109/tip.2026.3684409openalex-snapshot
ERDNet: Efficient Ship Object Detection in Haze Environment
inferred← citeshttps://doi.org/10.1109/tits.2025.3644245openalex-snapshot
Fast Wrong-Way Cycling Detection in CCTV Videos: Sparse Sampling Is All You Need
inferred← citeshttps://doi.org/10.1109/tits.2026.3707639openalex-snapshot
Adaptive Graph Construction Learning for Automotive Radar Object Detection
inferred← citeshttps://doi.org/10.1109/tkde.2025.3550877openalex-snapshot
Correlating Time Series With Interpretable Convolutional Kernels
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3566647openalex-snapshot
Deep Learning for Low-Light Vision: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/tnse.2026.3664315openalex-snapshot
ParallelGSE: Efficient and Secure Shortest Path Search on Encrypted Graphs
inferred← citeshttps://doi.org/10.1109/tpami.2024.3409824openalex-snapshot
Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos
inferred← citeshttps://doi.org/10.1109/tpami.2025.3634622openalex-snapshot
Graph Frequency-Domain Factor Modeling
inferred← citeshttps://doi.org/10.1109/tpec67884.2026.11513110openalex-snapshot
Spectral Graph Filters for Large Power Systems
inferred← citeshttps://doi.org/10.1109/tsipn.2025.3540714openalex-snapshot
The Graph Fractional Fourier Transform in Hilbert Space
inferred← citeshttps://doi.org/10.1109/tsipn.2025.3546469openalex-snapshot
Distributed Cascaded Spline-Based Adaptive Graph Filters for Nonlinear Systems: Design and Performance Analysis
inferred← citeshttps://doi.org/10.1109/tsipn.2025.3577354openalex-snapshot
Multimodal Graph Convolutional Network on Brain Structure and Function in Adolescent Anxiety and Depression
inferred← citeshttps://doi.org/10.1109/tsipn.2025.3597466openalex-snapshot
Subset Random Sampling and Reconstruction of Finite Time-Vertex Graph Signals
inferred← citeshttps://doi.org/10.1109/tsipn.2025.3599781openalex-snapshot
Joint Statistical Mask Learning and Distributed Estimation Without Support Priors
inferred← citeshttps://doi.org/10.1109/tsipn.2025.3640933openalex-snapshot
Vertex-Frequency Analysis of Brain Networks: Unveiling the Connection Between Structure-Function Coupling and Cognitive Ability
inferred← citeshttps://doi.org/10.1109/tsipn.2025.3642225openalex-snapshot
Learning Time-Varying Graph Signals via Koopman
inferred← citeshttps://doi.org/10.1109/tsipn.2026.3674421openalex-snapshot
Hyper-Differential Operator-Based Graph Fractional Fourier Transform: Novel Approaches and Applications
inferred← citeshttps://doi.org/10.1109/tsmc.2024.3407948openalex-snapshot
Matched Filtering on Directed Graphs
inferred← citeshttps://doi.org/10.1109/tsp.2024.3482350openalex-snapshot
Modeling Sparse Graph Sequences and Signals Using Generalized Graphons
inferred← citeshttps://doi.org/10.1109/tsp.2025.3567831openalex-snapshot
Vertex-Frequency Analysis on Directed Graphs
inferred← citeshttps://doi.org/10.1109/tsp.2025.3593659openalex-snapshot
A Graph Signal Processing Perspective of Network Multiple Hypothesis Testing With False Discovery Rate Control
inferred← citeshttps://doi.org/10.1109/tsp.2025.3608810openalex-snapshot
Graph Fourier Transform Enhancement Through Envelope Extensions
inferred← citeshttps://doi.org/10.1109/tsp.2025.3640648openalex-snapshot
Graph Chirp Signal and Graph Fractional Vertex–Frequency Energy Distribution
inferred← citeshttps://doi.org/10.1109/tsp.2026.3656887openalex-snapshot
Leveraging Low-Rank Factorizations of Conditional Correlation Matrices in Graph Learning
inferred← citeshttps://doi.org/10.1109/tsp.2026.3662488openalex-snapshot
A Design of Denser-Graph-Frequency Graph Fourier Frames for Graph Signal Analysis
inferred← citeshttps://doi.org/10.1109/tsp.2026.3706427openalex-snapshot
Bipartite Graph Approximation and Inference: An Eigenstructure-Based Approach
inferred← citeshttps://doi.org/10.1109/tsp.2026.3725870openalex-snapshot
A Blind Recovery Algorithm for Multicoset Sampling via Graph Spectral Support Identification
inferred← citeshttps://doi.org/10.1109/tsp.2026.3732352openalex-snapshot
A State-Dependent Vector Autoregressive Model for Online Forecasting of Time Series on Graphs
inferred← citeshttps://doi.org/10.1117/1.jei.33.3.033015openalex-snapshot
HMNNet: research on exposure-based nighttime semantic segmentation
inferred← citeshttps://doi.org/10.1145/3655755.3655777openalex-snapshot
Discrete Linear Canonical Transform on Graphs: Fast Sampling Set Selection Method
inferred← citeshttps://doi.org/10.1145/3701716.3715474openalex-snapshot
Heterogeneous Temporal Graph Neural Networks for Link Prediction
inferred← citeshttps://doi.org/10.1145/3742784openalex-snapshot
Graph Deep Learning for Time Series Forecasting
inferred← citeshttps://doi.org/10.1145/3749859.3749877openalex-snapshot
Sampling Based on Joint Time-Vertex Linear Canonical Transform
inferred← citeshttps://doi.org/10.1146/annurev-statistics-042324-040052openalex-snapshot
Deep Spatiotemporal Point Processes: Advances and New Directions
inferred← citeshttps://doi.org/10.1177/15589250241258272openalex-snapshot
Fabric defect detection via saliency model based on adjacent context coordination and transformer
inferred← citeshttps://doi.org/10.1177/15589250241313158openalex-snapshot
Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation
inferred← citeshttps://doi.org/10.1186/s13059-025-03631-5openalex-snapshot
DeepGFT: identifying spatial domains in spatial transcriptomics of complex and 3D tissue using deep learning and graph Fourier transform
inferred← citeshttps://doi.org/10.1186/s43251-026-00214-7openalex-snapshot
Signal processing methods for structural health monitoring of bridges: a comprehensive review of classical, data-driven, and hybrid approaches
inferred← citeshttps://doi.org/10.12681/eadd/57555openalex-snapshot
Higher order knowledge mining for humanistic data-generated graphs
inferred← citeshttps://doi.org/10.1364/jocn.592663openalex-snapshot
Dynamic routing and spectrum assignment in elastic optical networks using graph signal correlation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4360629/v1openalex-snapshot
Fourier Analysis of Signals on Directed Acyclic Graphs (DAG) Using Graph Zero-Padding
inferred← citeshttps://doi.org/10.21203/rs.3.rs-6183264/v1openalex-snapshot
Brain Signal Analysis of Neurological Disorders Using Topological Graphs
inferred← citeshttps://doi.org/10.2139/ssrn.7383647openalex-snapshot
Direct Ratio Conversion for Graph Signal Resampling in the Graph Frequency Domain
inferred← citeshttps://doi.org/10.23919/eusipco63237.2025.11226815openalex-snapshot
Processing Asynchronous Time-Simplex Signals
inferred← citeshttps://doi.org/10.3389/fmed.2025.1659122openalex-snapshot
Single-scan adaptive graph filtering for dynamic PET denoising by exploring intrinsic spatio-temporal structure
inferred← citeshttps://doi.org/10.3389/fnhum.2025.1543854openalex-snapshot
Both k-core percolation and directed graph analysis revealed succession and transition of voxels’ spatiotemporal progress on dynamic correlation resting-state fMRI
inferred← citeshttps://doi.org/10.3390/a19090765openalex-snapshot
A Trace-Based Structural Observability Framework for Network-on-Chip Routing Evaluation
inferred← citeshttps://doi.org/10.3390/e27101016openalex-snapshot
Spectral Properties of Complex Distributed Intelligence Systems Coupled with an Environment
inferred← citeshttps://doi.org/10.3390/electronics13010044openalex-snapshot
MSGL+: Fast and Reliable Model Selection-Inspired Graph Metric Learning
inferred← citeshttps://doi.org/10.3390/electronics14061191openalex-snapshot
Review of Task-Scheduling Methods for Heterogeneous Chips
inferred← citeshttps://doi.org/10.3390/rs18010112openalex-snapshot
Robust Low-Rank and Spatio–Temporal Regularization Framework for Moving-Vehicle Detection in Satellite Videos
inferred← citeshttps://doi.org/10.3390/s25061930openalex-snapshot
Enhancing Maritime Domain Awareness Through AI-Enabled Acoustic Buoys for Real-Time Detection and Tracking of Fast-Moving Vessels
inferred← citeshttps://doi.org/10.4018/ijdsst.389198openalex-snapshot
Enhancing Decision-Making in Art Education Through a Genetic Algorithm-Optimized K-Means Clustering Model
inferred← citeshttps://doi.org/10.4218/etrij.2024-0603openalex-snapshot
Low‐cost implementation of a multi‐sensor fusion and PID control framework for quadcopter navigation using Raspberry Pi 3
inferred← citeshttps://doi.org/10.64026/jccn/2026002openalex-snapshot
Hybrid Graph Signal Processing Deep Learning Framework for Adaptive Network Topology Optimization
inferred← citeshttps://doi.org/10.64898/2026.07.19.739422openalex-snapshot
Spectral organization of individualized connectome harmonics across brain structure, function and cognition
inferred← citeshttps://doi.org/10.70675/4949fe39z2d37z4b7dza42cz1d26a43a5401openalex-snapshot
Réseaux neuronaux en graphes inductifs Application à la surveillance Passive Visuelle et Acoustique
inferred← citeshttps://doi.org/10.7717/peerj-cs.3050openalex-snapshot
Lightweight graph convolutional network with multi-attention mechanisms for intelligent action recognition in online physical education
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