IEEE Transactions on Signal and Information Processing Over Networks

Article	Citations
A Generic Framework for Fixed-Time Synchronization of Large Delayed Impulsive Neural Networks	104
Graph Convolutional Neural Networks Sensitivity Under Probabilistic Error Model	53
A Nonconvex Low Rank and Sparse Constrained Multiview Subspace Clustering via $l_{\frac{1}{2}}$-Induced Tensor Nuclear Norm	42
Communication-Efficient Federated Learning Using Censored Heavy Ball Descent	38
Diffusion Mixture Minimum Total Error Entropy Adaptive Filtering Algorithm and Its Performance Analysis	37
Multivariate Time Series Forecasting With GARCH Models on Graphs	36
Fully Distributed Consensus Control for a Class of Disturbed Linear Multi-Agent Systems Over Event-Triggered Communication	32
Composite Output Consensus Control for General Linear Multiagent Systems With Heterogeneous Mismatched Disturbances	30
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning	29
Stable Outlier-Robust Signal Recovery Over Networks: A Convex Analytic Approach Using Minimax Concave Loss	26
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries	26
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks	25
Game-Theoretic Distributed Empirical Risk Minimization With Strategic Network Design	24
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing	23
Communication-Efficient Federated Optimization Over Semi-Decentralized Networks	22
Remote State Estimation Under DoS Attacks in CPSs With Arbitrary Tree Topology: A Bayesian Stackelberg Game Approach	21
Joint Design of Sample and Node Weighting for Distributed Ordinal Regression Under Label Noise	20
Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering	20
Decentralized Federated Learning: Balancing Communication and Computing Costs	20
Optimizing Multi-Agent Systems With Uncertain Dynamics: A Finite-Time Adaptive Distributed Approach	19
Discrete-Time Controllability of Cartesian Product Networks	19
IEEE SIGNAL PROCESSING SOCIETY	19
Multimodal Graph Convolutional Network on Brain Structure and Function in Adolescent Anxiety and Depression	18
Event-Triggered Data-Driven Distributed LFC Using Controller-Dynamic-Linearization Method	18
Online Auditing of Information Flow	17

Adaptive Resilient Tracking Control With Dual-Terminal Dynamic-Triggering for a Linear Multi-Agent System Against False Data Injection Attacks	17
Estimation of Relative Kinematic Parameters of an Anchorless Network	17
Operator Analysis-Based Distributed Quantized Bipartite Learning for Singular Nonlinear Switched Delayed MASs With Self-Learning Input Sharing Under Antagonistic Networks	16
scGraPhT: Merging Transformers and Graph Neural Networks for Single-Cell Annotation	16
The Graph Fractional Fourier Transform in Hilbert Space	16
Fault Estimation and Fault-Tolerant Tracking Control for Multi-Agent Systems With Lipschitz Nonlinearities Using Double Periodic Event-Triggered Mechanism	15
Resampling and Network Theory	14
Fully Distributed Model-Free Flocking of Multiple Euler-Lagrange Systems	14
Diffusion Generalized Kernel Maximum Correntropy Criterion Algorithm With Variable Center: Establishment and Performance Analysis	14
Multi-Agent Bipartite Flocking Control Over Cooperation-Competition Networks With Asynchronous Communications	14
Edge-Triggered Leader–Follower Consensus of Multiple Spacecraft Systems With Unknown Disturbances	14
A Closed-Form Solution for Graph Signal Separation Based on Smoothness	13
Channel Pricing and Sensor Scheduling for Distributed Estimation Based on a Stackelberg Game Framework	13
Dual Averaging for Distributed Unbalanced Optimization With Delayed Information	13
An Exploratory Distributed Localization Algorithm Based on 3D Barycentric Coordinates	12
Inferring Hidden Structures in Random Graphs	12
Quantized Distributed Estimation With Adaptive Combiner	12
Distributed Generalized Nash Equilibria Computation of Noncooperative Games Via Novel Primal-Dual Splitting Algorithms	11
Auxiliary Particle Filtering Over Sensor Networks Under Protocols of Amplify-and-Forward and Decode-and-Forward Relays	11
Adaptive Joint Estimation of Temporal Vertex and Edge Signals	11
Dynamic Event-Triggered Fusion Filtering for Multi-Sensor Rectangular Descriptor Systems With Random State Delay	11
Protocol-Based Distributed Security Fusion Estimation for Time-Varying Uncertain Systems Over Sensor Networks: Tackling DoS Attacks	11
Robust Fault Detection for Uncertain Delayed Systems With Measurement Outliers Under Stochastic Communication Protocol	11
A Graph-Assisted Framework for Multiple Graph Learning	11
Graph Receptive Transformer Encoder for Text Classification	11
Variance-Constrained Distributed Filtering Under Limited Bit Rates for Time-Varying Systems	10
Penalized Likelihood Approach for Graph Learning in the Presence of Outliers	10
Deep Reinforcement Learning-Based Cloud-Edge Collaborative Mobile Computation Offloading in Industrial Networks	10
Spline-Like Wavelet Filterbanks With Perfect Reconstruction on Arbitrary Graphs	10
Distributed Training of Large Graph Neural Networks With Variable Communication Rates	10
Dual-Domain Defenses for Byzantine-Resilient Decentralized Resource Allocation	10
Gotta Match 'Em All: Solution Diversification in Graph Matching Matched Filters	10
Adaptive Event-Triggered Quantized Communication-Based Distributed Estimation Over Sensor Networks With Semi-Markovian Switching Topologies	10
Leader-Following Containment Control of Hybrid Fractional-Order Networked Agents With Nonuniform Time Delays	10
Optimal Memory Scheme for Accelerated Consensus Over Multi-Agent Networks	9
GGAT: Gravitation-Based Graph Attention Networks	8
Bipartite Graph Approximation by Eigenvalue Optimization	8
Modeling and Analysis of Opinion Dynamics in Social Networks Using Multiple-Population Mean Field Games	8
Data Representation via Attribute Selection- Propagation Neural Network	8
Compensation-Based Distributed Model-Free Adaptive Control for Cyber-Attacks	8
Staleness Analysis in Asynchronous Optimization	8
A Gradient Tracking Protocol for Optimization Over Nabla Fractional Multi-Agent Systems	8
Dynamic Event-Triggered Approach for Distributed State and Parameter Estimation Over Networks Subjected to Deception Attacks	8
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing	8
Generalized Simplicial Attention Neural Networks	8
Preset-Time Robust Multi-Objective Optimization Over Directed Networks Based On Multi-Agent Framework	8
Decentralized Eigendecomposition for Online Learning Over Graphs With Applications	7
Joint Statistical Mask Learning and Distributed Estimation Without Support Priors	7
Kernel-Based Multilayer Graph Signal Recovery via Median Truncation of Gradient Descent	7
RNGCNs: Robust Norm Graph Convolutional Networks in the Presence of Missing Data and Large Noises	7

Mesh-Based Consensus Distributed Particle Filtering for Sensor Networks	7
Secure Observer-Based $H_{\infty }$ Synchronization for Singularly Perturbed Multiweighted Complex Networks With Stochastic Communication Protocol	7
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness	6
Sensor-Fault Detection, Isolation and Accommodation for Natural-Gas Pipelines Under Transient Flow	6
Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks	6
Distributed Extended Object Tracking Using Coupled Velocity Model From WLS Perspective	6
A Multi-Agent Collaborative Environment Learning Method for UAV Deployment and Resource Allocation	6
Online Smooth Graph Learning From Incomplete Data	6
SecDT: Privacy-Preserving Outsourced Decision Tree Classification Without Polynomial Forms in Edge-Cloud Computing	6
Distributed Optimization of Heterogeneous Linear Multi-Agent Systems With Unknown Disturbances and Optimal Gain Tuning	6
Protocol-Based Fusion Estimator Design for State-Saturated Systems With Dead-Zone-Like Censoring Under Deception Attacks	6
Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality	6
Resilient Output Containment of Heterogeneous Multi-Agent Systems Against Byzantine Attacks	6
CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph	6
Robust Online Modeling of Counts in Agent Networks	5
Consensus Analysis for Cooperative-Competitive Multiagent Systems Under False Data Injection Attacks via Dynamic Event-Triggered Observers	5
A Novel Spectral Graph Distance Measure and Its Applications in Biomedical Signal Processing	5
Distributed Optimisation With Linear Equality and Inequality Constraints Using PDMM	5
Fully Distributed Game Strategy for Second-Order Players and Its Application to Networked Electricity Markets	5
Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics	5
Graph Wedgelets: Adaptive Data Compression on Graphs Based on Binary Wedge Partitioning Trees and Geometric Wavelets	5
Online Joint Topology Identification and Signal Estimation From Streams With Missing Data	5
State Estimation for Discrete-Time Complex Networks With Time-Varying Outer Coupling and Uncertain Inner Coupling: A Distributed Method	5
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks	5
Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs	5
Topology Recoverability Prediction for Ad-Hoc Robot Networks: A Data-Driven Fault-Tolerant Approach	5
Unifying Epidemic Models With Mixtures	5
Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference	5
Distributed Multi-Task Learning for Stochastic Bandits With Context Distribution and Stage-Wise Constraints	5
Inhomogeneous Graph Trend Filtering via a $\ell _{2,0}$-Norm Cardinality Penalty	5
Encoding-Decoding-Based Distributed Fusion Filtering for Multi-Rate Nonlinear Systems With Sensor Resolutions	5
Multi-Rate Sampled-Data Secure Fusion Estimation Against Malicious Hybrid Attacks	5
Joint State and Fault Estimation of Complex Networks Under Measurement Saturations and Stochastic Nonlinearities	5
Byzantine-Robust Distributed Learning With Compression	4
Distributed Event-Triggered Fault-Tolerant Consensus Control of Multi-Agent Systems Under DoS Attacks	4
An ADMM-Based Approach to Quadratically-Regularized Distributed Optimal Transport on Graphs	4
A Fixed-Time Convergent Distributed Algorithm for Time-Varying Optimal Resource Allocation Problem	4
Stability of Aggregation Graph Neural Networks	4
Fuzzy Aggregation and Label Propagation Based Social Community Detection Using Cuckoo Search	4
Distributed Proximal Alternating Direction Method of Multipliers for Constrained Composite Optimization Over Directed Networks	4
Variable Step-Size Diffusion Bias-Compensated APV Algorithm Over Networks	4
Bipartite Consensus for Takagi-Sugeno Fuzzy Uncertain Multi-Agent Systems With Gain Fluctuations	4
IEEE Signal Processing Society Information	4
Graph Topology Inference With Derivative-Reproducing Property in RKHS: Algorithm and Convergence Analysis	4
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space	4
Subset Random Sampling and Reconstruction of Finite Time-Vertex Graph Signals	4
Dynamic Event-Triggering Resilient Coordination for Time-Varying Heterogeneous Networks	4
Geometric Methods for Resilient Aggregation and Safe Point Computation in Adversarial Multiagent Networks with Imprecise Data	4
Temporal Multiple Rotation Averaging on a Distributed Dynamic Network	4
Surface Target Tracking Using Towed Array Sonars With Direct and Bottom Bounce Underwater Sound Signals	4
Permutation Entropy for Graph Signals	4
Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables	4
Strong Convergence of a Random Actions Model in Opinion Dynamics	4
Adaptive Event-Triggered Output Synchronization of Heterogeneous Multiagent Systems: A Model-Free Reinforcement Learning Approach	4
Probability-Guaranteed Distributed Estimation for Two-Dimensional Systems Under Stochastic Access Protocol	3
A Linearly Convergent Optimization Framework for Learning Graphs From Smooth Signals	3
Optimized Distributed Filtering for Time-Varying Saturated Stochastic Systems With Energy Harvesting Sensors Over Sensor Networks	3
Performance Analysis of Smart Grid Wide Area Network With RIS Assisted Three Hop System	3
Greedy $k$-Center From Noisy Distance Samples	3
Kernel Regression for Matrix-Variate Gaussian Distributed Signals Over Sample Graphs	3
Graph Distributional Signals for Regularization in Graph Neural Networks	3
A Decentralized Stochastic Algorithm for Coupled Composite Optimization With Linear Convergence	3
Learning General Brain Network Representations of Different Brain Disorders Using Invariant Subgraph GNN	3
Distributed Adaptive Signal Fusion for Fractional Programs	3
Distributed Nash Equilibrium Seeking for Nonlinear Players With Input Delay	3
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs	3
A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization	3
Fair Contrastive Learning on Graphs	3
Deterministic and Randomized Diffusion Based Iterative Generalized Hard Thresholding (DiFIGHT) for Distributed Recovery of Sparse Signals	3
A Multi-View Rumor Detection Framework Using Dynamic Propagation Structure, Interaction Network, and Content	3
Dynamic Event-Triggered Feedback Fusion Estimation for Nonlinear Multi-Sensor Systems With Auto/Cross-Correlated Noises	3
Localization of Data Injection Attacks on Distributed M-Estimation	3
Communication-Efficient and Privacy-Aware Distributed Learning	2
Gaussian Kernel Variance for an Adaptive Learning Method on Signals Over Graphs	2
Message Passing-Based 9-D Cooperative Localization and Navigation With Embedded Particle Flow	2
R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking Over General Topology	2
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks With Graph Neural Networks	2
CoRNI: A Co-Evolutionary Framework Integrating Reputation and Network Structure for Modeling Social Influence Dynamics	2
Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification	2
Distributed Detection Fusion in Clustered Sensor Networks Over Multiple Access Fading Channels	2

Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets	2
Dual-Protection Method Against Eavesdroppers for Distributed State Estimation	2
Probability-Constrained Distributed Non-Fragile Estimation Over Sensor Networks Subject to Stochastic Communication Protocol	2
A Localized Primal-Dual Method for Centralized/Decentralized Federated Learning Robust to Data Heterogeneity	2
Distributed Sequential State Estimation Over Binary Sensor Networks With Inaccurate Process Noise Covariance: A Variational Bayesian Framework	2
Event-Triggered Distributed Cubature Kalman Filtering Algorithm With Stealthy Attacks Over Sensor Networks	2
Recursive Distributed Filter Design for 2-D Systems Over Sensor Networks: On Component-Based, Node-Wise and Dynamic Event-Triggered Scheme	2
Revisiting the Primal-Dual Method of Multipliers for Optimisation Over Centralised Networks	2
Virtual Convex Hull Based Distributed Iterative Localization for Mobile Sensor Networks Under Denial-of-Service Attacks	2
Improved Interval Estimation Method for Cyber-Physical Systems Under Stealthy Deception Attacks	2
Memory-Based Accelerated Consensus for Second-Order Multi-Agent Systems With Delay	2