IEEE Transactions on Signal and Information Processing Over Networks

Article	Citations
A Generic Framework for Fixed-Time Synchronization of Large Delayed Impulsive Neural Networks	101
Graph Convolutional Neural Networks Sensitivity Under Probabilistic Error Model	51
A Nonconvex Low Rank and Sparse Constrained Multiview Subspace Clustering via $l_{\frac{1}{2}}$-Induced Tensor Nuclear Norm	40
Communication-Efficient Federated Learning Using Censored Heavy Ball Descent	36
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	35
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning	30
Composite Output Consensus Control for General Linear Multiagent Systems With Heterogeneous Mismatched Disturbances	29
Diffusion Mixture Minimum Total Error Entropy Adaptive Filtering Algorithm and Its Performance Analysis	27
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries	26
Stable Outlier-Robust Signal Recovery Over Networks: A Convex Analytic Approach Using Minimax Concave Loss	25
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing	24
Game-Theoretic Distributed Empirical Risk Minimization With Strategic Network Design	24
Communication-Efficient Federated Optimization Over Semi-Decentralized Networks	23
Remote State Estimation Under DoS Attacks in CPSs With Arbitrary Tree Topology: A Bayesian Stackelberg Game Approach	22
Decentralized Federated Learning: Balancing Communication and Computing Costs	20
Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering	20
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks	20
Optimizing Multi-Agent Systems With Uncertain Dynamics: A Finite-Time Adaptive Distributed Approach	18
Joint Design of Sample and Node Weighting for Distributed Ordinal Regression Under Label Noise	18
Event-Triggered Data-Driven Distributed LFC Using Controller-Dynamic-Linearization Method	17
IEEE SIGNAL PROCESSING SOCIETY	17
Discrete-Time Controllability of Cartesian Product Networks	17
Adaptive Resilient Tracking Control With Dual-Terminal Dynamic-Triggering for a Linear Multi-Agent System Against False Data Injection Attacks	17
The Graph Fractional Fourier Transform in Hilbert Space	16

Multimodal Graph Convolutional Network on Brain Structure and Function in Adolescent Anxiety and Depression	16
Operator Analysis-based Distributed Quantized Bipartite Learning for Singular Nonlinear Switched Delayed MASs with Self-learning Input Sharing Under Antagonistic Networks	16
Estimation of Relative Kinematic Parameters of an Anchorless Network	16
Fault Estimation and Fault-Tolerant Tracking Control for Multi-Agent Systems With Lipschitz Nonlinearities Using Double Periodic Event-Triggered Mechanism	16
Online Auditing of Information Flow	16
scGraPhT: Merging Transformers and Graph Neural Networks for Single-Cell Annotation	15
Dual Averaging for Distributed Unbalanced Optimization With Delayed Information	14
Fully Distributed Model-Free Flocking of Multiple Euler-Lagrange Systems	14
Resampling and Network Theory	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
An Exploratory Distributed Localization Algorithm Based on 3D Barycentric Coordinates	12
Inferring Hidden Structures in Random Graphs	12
Auxiliary Particle Filtering Over Sensor Networks Under Protocols of Amplify-and-Forward and Decode-and-Forward Relays	11
Dynamic Event-Triggered Fusion Filtering for Multi-Sensor Rectangular Descriptor Systems With Random State Delay	11
Quantized Distributed Estimation With Adaptive Combiner	11
Protocol-Based Distributed Security Fusion Estimation for Time-Varying Uncertain Systems Over Sensor Networks: Tackling DoS Attacks	11
A Graph-Assisted Framework for Multiple Graph Learning	11
Adaptive Joint Estimation of Temporal Vertex and Edge Signals	11
Graph Receptive Transformer Encoder for Text Classification	11
Distributed Training of Large Graph Neural Networks With Variable Communication Rates	10
Leader-Following Containment Control of Hybrid Fractional-Order Networked Agents With Nonuniform Time Delays	10
Penalized Likelihood Approach for Graph Learning in the Presence of Outliers	10
Spline-Like Wavelet Filterbanks With Perfect Reconstruction on Arbitrary Graphs	10
Deep Reinforcement Learning-Based Cloud-Edge Collaborative Mobile Computation Offloading in Industrial Networks	10
Dual-Domain Defenses for Byzantine-Resilient Decentralized Resource Allocation	10
Robust Fault Detection for Uncertain Delayed Systems With Measurement Outliers Under Stochastic Communication Protocol	10
Distributed Generalized Nash Equilibria Computation of Noncooperative Games Via Novel Primal-Dual Splitting Algorithms	10
Adaptive Event-Triggered Quantized Communication-Based Distributed Estimation Over Sensor Networks With Semi-Markovian Switching Topologies	10
Gotta Match 'Em All: Solution Diversification in Graph Matching Matched Filters	9
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing	9
Compensation-Based Distributed Model-Free Adaptive Control for Cyber-Attacks	8
Data Representation via Attribute Selection- Propagation Neural Network	8
GGAT: Gravitation-Based Graph Attention Networks	8
Optimal Memory Scheme for Accelerated Consensus Over Multi-Agent Networks	8
Generalized Simplicial Attention Neural Networks	8
Bipartite Graph Approximation by Eigenvalue Optimization	8
Preset-Time Robust Multi-Objective Optimization Over Directed Networks Based On Multi-Agent Framework	7
Modeling and Analysis of Opinion Dynamics in Social Networks Using Multiple-Population Mean Field Games	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
Dynamic Event-Triggered Approach for Distributed State and Parameter Estimation Over Networks Subjected to Deception Attacks	7
RNGCNs: Robust Norm Graph Convolutional Networks in the Presence of Missing Data and Large Noises	7
A Gradient Tracking Protocol for Optimization Over Nabla Fractional Multi-Agent Systems	7
Staleness Analysis in Asynchronous Optimization	7
Decentralized Eigendecomposition for Online Learning Over Graphs With Applications	6
A Multi-Agent Collaborative Environment Learning Method for UAV Deployment and Resource Allocation	6
Distributed Optimisation With Linear Equality and Inequality Constraints Using PDMM	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
Distributed Extended Object Tracking Using Coupled Velocity Model From WLS Perspective	6
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness	6
Resilient Output Containment of Heterogeneous Multi-Agent Systems Against Byzantine Attacks	6
Encoding-Decoding-Based Distributed Fusion Filtering for Multi-Rate Nonlinear Systems With Sensor Resolutions	6
Kernel-Based Multilayer Graph Signal Recovery via Median Truncation of Gradient Descent	6
CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph	6
Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks	6
Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality	6
Distributed Multi-Task Learning for Stochastic Bandits With Context Distribution and Stage-Wise Constraints	5
Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs	5
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks	5
State Estimation for Discrete-Time Complex Networks With Time-Varying Outer Coupling and Uncertain Inner Coupling: A Distributed Method	5
Topology Recoverability Prediction for Ad-Hoc Robot Networks: A Data-Driven Fault-Tolerant Approach	5
Unifying Epidemic Models With Mixtures	5
Protocol-Based Fusion Estimator Design for State-Saturated Systems With Dead-Zone-Like Censoring Under Deception Attacks	5
Online Smooth Graph Learning From Incomplete Data	5
A Novel Spectral Graph Distance Measure and Its Applications in Biomedical Signal Processing	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
Robust Online Modeling of Counts in Agent Networks	5
Sensor-Fault Detection, Isolation and Accommodation for Natural-Gas Pipelines Under Transient Flow	5
Fully Distributed Game Strategy for Second-Order Players and Its Application to Networked Electricity Markets	5
Inhomogeneous Graph Trend Filtering via a $\ell _{2,0}$-Norm Cardinality Penalty	5
Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics	5
An ADMM-Based Approach to Quadratically-Regularized Distributed Optimal Transport on Graphs	4
Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference	4
Bipartite Consensus for Takagi-Sugeno Fuzzy Uncertain Multi-Agent Systems With Gain Fluctuations	4
Surface Target Tracking Using Towed Array Sonars With Direct and Bottom Bounce Underwater Sound Signals	4
Stability of Aggregation Graph Neural Networks	4
Byzantine-Robust Distributed Learning With Compression	4
Graph Wedgelets: Adaptive Data Compression on Graphs Based on Binary Wedge Partitioning Trees and Geometric Wavelets	4
Online Joint Topology Identification and Signal Estimation From Streams With Missing Data	4
IEEE Signal Processing Society Information	4
A Fixed-Time Convergent Distributed Algorithm for Time-Varying Optimal Resource Allocation Problem	4
Permutation Entropy for Graph Signals	4
Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables	4
Distributed Event-Triggered Fault-Tolerant Consensus Control of Multi-Agent Systems Under DoS Attacks	4
Consensus Analysis for Cooperative-Competitive Multiagent Systems Under False Data Injection Attacks via Dynamic Event-Triggered Observers	4
Graph Topology Inference With Derivative-Reproducing Property in RKHS: Algorithm and Convergence Analysis	4
Variable Step-Size Diffusion Bias-Compensated APV Algorithm Over Networks	4
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space	4
Fair Contrastive Learning on Graphs	4
Temporal Multiple Rotation Averaging on a Distributed Dynamic Network	4
Learning General Brain Network Representations of Different Brain Disorders Using Invariant Subgraph GNN	3
Distributed Proximal Alternating Direction Method of Multipliers for Constrained Composite Optimization Over Directed Networks	3
Fuzzy Aggregation and Label Propagation Based Social Community Detection Using Cuckoo Search	3
Dynamic Event-Triggering Resilient Coordination for Time-Varying Heterogeneous Networks	3
Probability-Guaranteed Distributed Estimation for Two-Dimensional Systems Under Stochastic Access Protocol	3
Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification	3
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks With Graph Neural Networks	3
Deterministic and Randomized Diffusion Based Iterative Generalized Hard Thresholding (DiFIGHT) for Distributed Recovery of Sparse Signals	3
Graph Distributional Signals for Regularization in Graph Neural Networks	3
Adaptive Event-Triggered Output Synchronization of Heterogeneous Multiagent Systems: A Model-Free Reinforcement Learning Approach	3
A Decentralized Stochastic Algorithm for Coupled Composite Optimization With Linear Convergence	3
A Linearly Convergent Optimization Framework for Learning Graphs From Smooth Signals	3
Distributed Sequential State Estimation Over Binary Sensor Networks With Inaccurate Process Noise Covariance: A Variational Bayesian Framework	3
Dynamic Event-Triggered Feedback Fusion Estimation for Nonlinear Multi-Sensor Systems With Auto/Cross-Correlated Noises	3
Greedy $k$-Center From Noisy Distance Samples	3
A Multi-View Rumor Detection Framework Using Dynamic Propagation Structure, Interaction Network, and Content	3
A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization	3
Strong Convergence of a Random Actions Model in Opinion Dynamics	3
Performance Analysis of Smart Grid Wide Area Network With RIS Assisted Three Hop System	3
Optimized Distributed Filtering for Time-Varying Saturated Stochastic Systems With Energy Harvesting Sensors Over Sensor Networks	3
Kernel Regression for Matrix-Variate Gaussian Distributed Signals Over Sample Graphs	3
Distributed Adaptive Signal Fusion for Fractional Programs	3
Distributed Nash Equilibrium Seeking for Nonlinear Players With Input Delay	3
Recursive Distributed Filter Design for 2-D Systems Over Sensor Networks: On Component-Based, Node-Wise and Dynamic Event-Triggered Scheme	2
Detection and Recovery of Hidden Submatrices	2
Event-Triggered Distributed Cubature Kalman Filtering Algorithm With Stealthy Attacks Over Sensor Networks	2
CoRNI: A Co-Evolutionary Framework Integrating Reputation and Network Structure for Modeling Social Influence Dynamics	2
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs	2
Dual-Protection Method Against Eavesdroppers for Distributed State Estimation	2
Message Passing-Based 9-D Cooperative Localization and Navigation With Embedded Particle Flow	2
Virtual Convex Hull Based Distributed Iterative Localization for Mobile Sensor Networks Under Denial-of-Service Attacks	2
Revisiting the Primal-Dual Method of Multipliers for Optimisation Over Centralised Networks	2
A Localized Primal-Dual Method for Centralized/Decentralized Federated Learning Robust to Data Heterogeneity	2
Localization of Data Injection Attacks on Distributed M-Estimation	2
Gaussian Kernel Variance for an Adaptive Learning Method on Signals Over Graphs	2

Communication-Efficient and Privacy-Aware Distributed Learning	2
Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets	2
Distributed Detection Fusion in Clustered Sensor Networks Over Multiple Access Fading Channels	2
Graph Laplacian Learning With Exponential Family Noise	2
Probability-Constrained Distributed Non-Fragile Estimation Over Sensor Networks Subject to Stochastic Communication Protocol	2
Memory-Based Accelerated Consensus for Second-Order Multi-Agent Systems With Delay	2
Improved Interval Estimation Method for Cyber-Physical Systems Under Stealthy Deception Attacks	2
R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking Over General Topology	2