yusuke1997/dblp-id-title huggingface dataset:
Anti-jamming Strategy Versus a Low-Power Jamming Attack When Intelligence of Adversary's Attack Type is Unknown
Recovering the Structural Observability of Composite Networks via Cartesian Product
Filter Design for Autoregressive Moving Average Graph Filters
Distributed Optimization Algorithm for the Economic Dispatch Problem Over Delayed Communication Network
node2coords: Graph Representation Learning with Wasserstein Barycenters
Adaptive Kernel Learning in Heterogeneous Networks
Gaussian Mixture Particle Jump-Markov-CPHD Fusion for Multitarget Tracking Using Sensors With Limited Views
Distributed Adaptive Signal Estimation in Wireless Sensor Networks With Partial Prior Knowledge of the Desired Sources Steering Matrix
Social Learning Over Weakly Connected Graphs
Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs
Dynamic Event-Triggered Feedback Fusion Estimation for Nonlinear Multi-Sensor Systems With Auto/Cross-Correlated Noises
Fusion Rules for Distributed Detection in Clustered Wireless Sensor Networks With Imperfect Channels
A Coalitional Game Theoretic Outlook on Distributed Adaptive Parameter Estimation
Proportionate Adaptive Graph Signal Recovery
Binarized Brain Connectivity: A Novel Autocorrelation-Based Iterative Synchronization Technique
Integrating Temporal and Spatial Structures for Robust Rumor Detection in Social Networks
Network Inference From Consensus Dynamics With Unknown Parameters
Diffusion and Superposition Distances for Signals Supported on Networks
Efficient Wireless Multimedia Multicast in Multi-Rate Multi-Channel Mesh Networks
Online Signed Sampling of Bandlimited Graph Signals
Sensor-Fault Detection, Isolation and Accommodation for Natural-Gas Pipelines Under Transient Flow
Distributed Bernoulli Filters for Joint Detection and Tracking in Sensor Networks
Probability-Guaranteed Distributed Estimation for Two-Dimensional Systems Under Stochastic Access Protocol
Greedy Sparse Learning Over Network
Using Social Network Information in Community-Based Bayesian Truth Discovery
Mask Combination of Multi-Layer Graphs for Global Structure Inference
Stochastic Multidimensional Scaling
Derivation and Analysis of the Primal-Dual Method of Multipliers Based on Monotone Operator Theory
A Fixed-Time Convergent Distributed Algorithm for Time-Varying Optimal Resource Allocation Problem
Distributed Optimization Using the Primal-Dual Method of Multipliers
Uniform $\varepsilon$-Stability of Distributed Nonlinear Filtering Over DNAs: Gaussian-Finite HMMs
Improved Interval Estimation Method for Cyber-Physical Systems Under Stealthy Deception Attacks
Joint Multi-Ground-User Edge Caching Resource Allocation for Cache-Enabled High-Low-Altitude-Platforms Integrated Network
Learning Product Graphs From Spectral Templates
Quantized Distributed Estimation With Adaptive Combiner
Strategic DoS Attack in Continuous Space for Cyber-Physical Systems Over Wireless Networks
Consensus in the Presence of Multiple Opinion Leaders: Effect of Bounded Confidence
Adaptive Medium Access Control for Distributed Processing in Wireless Sensor Networks
Distributed Control in Uncertain Nonlinear Multiagent Systems Under Event-Triggered Communication and General Directed Graphs
Geometric Methods for Resilient Aggregation and Safe Point Computation in Adversarial Multiagent Networks With Imprecise Data
Generalized Locally Most Powerful Tests for Distributed Sparse Signal Detection
Analysis and Design of Robust Max Consensus for Wireless Sensor Networks
Distributed Discrete Hashing by Equivalent Continuous Formulation
Diffusion Minimum Generalized Rank Norm Over Distributed Adaptive Networks: Formulation and Performance Analysis
Distributed Linearized ADMM for Network Cost Minimization
Tensor Completion Using High-Order Spatial Delay Embedding for IoT Multi-Attribute Data Reconstruction
Efficient Graph Learning From Noisy and Incomplete Data
Resilient Output Containment of Heterogeneous Multi-Agent Systems Against Byzantine Attacks
Analysis of the Spatio-Temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing
Revisiting the Primal-Dual Method of Multipliers for Optimisation Over Centralised Networks
Deep Reinforcement Learning Based Transmission Scheduling for Sensing and Control Coordination
Multimodal Graph Convolutional Network on Brain Structure and Function in Adolescent Anxiety and Depression
Multi-Scale Graph Convolutional Network With Spectral Graph Wavelet Frame
Distributed Multi-Task Learning for Stochastic Bandits With Context Distribution and Stage-Wise Constraints
Diffusion Mixture Minimum Total Error Entropy Adaptive Filtering Algorithm and Its Performance Analysis
Fuzzy Aggregation and Label Propagation Based Social Community Detection Using Cuckoo Search
Compressed Sensing in Wireless Sensor Networks Without Explicit Position Information
Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks
Multiple Hypothesis Testing Framework for Spatial Signals
Tracking Infection Diffusion in Social Networks: Filtering Algorithms and Threshold Bounds
Large Graph Signal Denoising With Application to Differential Privacy
Explainability and Graph Learning From Social Interactions
Full Euclidean Distance Based Selection Combining for SSK DF Cooperative Diversity Systems
Subset Random Sampling and Reconstruction of Finite Time-Vertex Graph Signals
Exploiting Social Trust Assisted Reciprocity (STAR) Toward Utility-Optimal Socially-Aware Crowdsensing
Traffic Signal Prediction on Transportation Networks Using Spatio-Temporal Correlations on Graphs
Widely Linear Complex-Valued Diffusion Subband Adaptive Filter Algorithm
Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations
Communication-Efficient and Privacy-Aware Distributed Learning
Game-Theoretic Distributed Empirical Risk Minimization With Strategic Network Design
Greedy k -Center From Noisy Distance Samples
Analysis of a Diffusion LMS Algorithm With Communication Delays for Cyclostationary White Gaussian Inputs
State-Space Network Topology Identification From Partial Observations
Bipartite Consensus for Takagi-Sugeno Fuzzy Uncertain Multi-Agent Systems With Gain Fluctuations
Gradient-Based Sequential Markov Chain Monte Carlo for Multitarget Tracking With Correlated Measurements
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications
Adaptive Distributed Beamforming for Relay Networks Based on Local Channel State Information
Secure Bipartite Consensus With Event-Trigger-Based Exclusion for Nonlinear Multi-Agent Systems Under Malicious Attacks
Distributed Proximal Alternating Direction Method of Multipliers for Constrained Composite Optimization Over Directed Networks
Trust-Enhanced Distributed Kalman Filtering for Sensor Fault Diagnosis in Sensor Networks
Distributed Optimization of Heterogeneous Linear Multi-Agent Systems With Unknown Disturbances and Optimal Gain Tuning
Asynchronous Optimization Over Heterogeneous Networks Via Consensus ADMM
Dual Averaging for Distributed Unbalanced Optimization With Delayed Information
TMGpCN: Semi-Supervised GpCN Based on Transformer Mask for Automatic Modulation Recognition
Memory-Based Accelerated Consensus for Second-Order Multi-Agent Systems With Delay
An Asymptotically Equivalent GLRT Test for Distributed Detection in Wireless Sensor Networks
Variable Step-Size Diffusion Bias-Compensated APV Algorithm Over Networks
Adaptive Event-Triggered Quantized Communication-Based Distributed Estimation Over Sensor Networks With Semi-Markovian Switching Topologies
Robust Graph Topology Inference for Multiple Brain EEG Networks
Graph Laplacian Mixture Model
A Decentralized Stochastic Algorithm for Coupled Composite Optimization With Linear Convergence
Novel Information-Theoretic Game-Theoretical Insights to Broadcasting
Automatic Modulation Classification Using Convolutional Neural Network With Features Fusion of SPWVD and BJD
Time-Aware Distributed Sequential Detection of Gas Dispersion via Wireless Sensor Networks
Clustering-Aware Graph Construction: A Joint Learning Perspective
Error Propagation in Gossip-Based Distributed Particle Filters
Distributed Proportional-Integral Algorithms for Multiple Coalition Games Under Limited Communication Resources
Distributed ADMM for In-Network Reconstruction of Sparse Signals With Innovations
Dual-Protection Method Against Eavesdroppers for Distributed State Estimation
Data Representation via Attribute Selection- Propagation Neural Network
GGAT: Gravitation-Based Graph Attention Networks
Evolutionary Dynamics Based on Reputation in Networked Populations With Game Transitions
No-Reference Transmission Distortion Modelling for H.264/AVC-Coded Video
Stable Outlier-Robust Signal Recovery Over Networks: A Convex Analytic Approach Using Minimax Concave Loss
Evolutionary Information Diffusion Over Heterogeneous Social Networks
A Variable Parameter LMS Algorithm Based on Generalized Maximum Correntropy Criterion for Graph Signal Processing
Pricing and Selection of Channels for Remote State Estimation Using a Stackelberg Game Framework
Resilient Distributed Optimization Algorithm With Fixed Step Size Against Malicious Attacks
Barycentric Coordinate-Based Distributed Localization Over 3-D Underwater Wireless Sensor Networks
Bayesian Learning Without Recall
Staleness Analysis in Asynchronous Optimization
Finite-Time Asymmetric Bipartite Consensus for Multi-Agent Systems Using Data-Driven Iterative Learning Control
Bandwidth-Constrained Decentralized Detection of an Unknown Vector Signal via Multisensor Fusion
Discrete-Time Periodic Event-Triggered Distributed Set-Membership Estimation Over Sensor Networks
Secure Event-Triggered Consensus Control of Multi-Agent Systems Under Hybrid Cyber Attacks
A Closed-Form Solution for Graph Signal Separation Based on Smoothness
Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications
Consensus-Based Distributed Discrete Optimal Transport for Decentralized Resource Matching
Topology-Independent Distributed Adaptive Node-Specific Signal Estimation in Wireless Sensor Networks
Vector-Valued Graph Trend Filtering With Non-Convex Penalties
Communication-Efficient Decentralized Sparse Bayesian Learning of Joint Sparse Signals
Dynamic Average Diffusion With Randomized Coordinate Updates
Asymptotically Efficient Moving Target Localization in Distributed Radar Networks
Graph-Based Compression for Distributed Particle Filters
Learning Heat Diffusion Graphs
Multi-Rate Sampled-Data Secure Fusion Estimation Against Malicious Hybrid Attacks
Operator Analysis-Based Distributed Quantized Bipartite Learning for Singular Nonlinear Switched Delayed MASs With Self-Learning Input Sharing Under Antagonistic Networks
Composite Output Consensus Control for General Linear Multiagent Systems With Heterogeneous Mismatched Disturbances
Compressed Regression Over Adaptive Networks
A Distributed and Maximum-Likelihood Sensor Network Localization Algorithm Based Upon a Nonconvex Problem Formulation
Distributed Joint Attack Detection and Secure State Estimation
A Gradient Tracking Protocol for Optimization Over Nabla Fractional Multi-Agent Systems
Distributed Estimation by Partial Sensor Measurements Through Transmission Scheduling for Stochastic Systems
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization
Distortion Outage Minimization in Distributed Estimation With Estimation Secrecy Outage Constraints
Node Dominance: Revealing Community and Core-Periphery Structure in Social Networks
Simple Bounds for the Probability of False Alarm to Design Sensor Detection Systems Using the Scan Statistic
Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising
Graph Laplacian Learning With Exponential Family Noise
Distributed Jointly Sparse Bayesian Learning With Quantized Communication
On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach
A Unification and Generalization of Exact Distributed First-Order Methods
Temporally Agnostic Rumor-Source Detection
Detection of Single Versus Multiple Antenna Transmission Systems Using Pilot Data
Graph-Based Classification With Multiple Shift Matrices
On Inference of Network Topology and Confirmation Bias in Cyber-Social Networks
Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks
Cooperative Localization in WSNs: A Hybrid Convex/Nonconvex Solution
Active Sensing of Social Networks
Bearing Rigidity-Based Localizability Analysis for Wireless Sensor Networks
Efficient Distributed Online Prediction and Stochastic Optimization With Approximate Distributed Averaging
Fault-Tolerant Control for Output Regulation in Multi-Agent Systems Based on Prescribed-Time Observers
Tackling Over-Smoothing in Graph Convolutional Networks With EM-Based Joint Topology Optimization and Node Classification
Distributed Partially Linear Additive Models With a High Dimensional Linear Part
Learning to Model the Relationship Between Brain Structural and Functional Connectomes
Scalable Data Association for Extended Object Tracking
Preserving Privacy Enables "Coexistence Equilibrium" of Competitive Diffusion in Social Networks
Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation
Recursive Distributed Filtering for Time-Varying Systems Over Sensor Network via Rayleigh Fading Channels: Tackling Binary Measurements
Privacy-Constrained Parallel Distributed Neyman-Pearson Test
Piecewise-Constant Representation and Sampling of Bandlimited Signals on Graphs
Graph Learning From Filtered Signals: Graph System and Diffusion Kernel Identification
Spline-Like Wavelet Filterbanks With Perfect Reconstruction on Arbitrary Graphs
Collaborative Cloud and Edge Mobile Computing in C-RAN Systems With Minimal End-to-End Latency
Geometric Learning and Topological Inference With Biobotic Networks
A Scalable Feedback Mechanism for Distributed Nullforming With Phase-Only Adaptation
An Exploratory Distributed Localization Algorithm Based on 3D Barycentric Coordinates
Structurally Observable Distributed Networks of Agents Under Cost and Robustness Constraints
Topology Recoverability Prediction for Ad-Hoc Robot Networks: A Data-Driven Fault-Tolerant Approach
Penalized Likelihood Approach for Graph Learning in the Presence of Outliers
Multireceiver Predicate Encryption for Online Social Networks
Deterministic and Randomized Diffusion Based Iterative Generalized Hard Thresholding (DiFIGHT) for Distributed Recovery of Sparse Signals
Channel Pricing and Sensor Scheduling for Distributed Estimation Based on a Stackelberg Game Framework
Location of Things: Geospatial Tagging for IoT Using Time-of-Arrival
Detection of Homophilic Communities and Coordination of Interacting Meta-Agents: A Game-Theoretic Viewpoint
Sequence-Based Group Consensus for Heterogeneous Multi-Agent Systems
Distributed Particle Filtering via Optimal Fusion of Gaussian Mixtures
Distributed Widely Linear Kalman Filtering for Frequency Estimation in Power Networks
Efficient Implementation of Truncated Frobenius Norm Minimization for Latent Low-Rank Representation
Energy-Efficient Transmission Scheduling With Uncertainty-Aware Data Imputation for Mhealth
Predicting Graph Signals Using Kernel Regression Where the Input Signal is Agnostic to a Graph
Measuring Causal Relationships in Dynamical Systems through Recovery of Functional Dependencies
CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph
Federated Tobit Kalman Filtering Fusion With Dead-Zone-Like Censoring and Dynamical Bias Under the Round-Robin Protocol
Interval Observer Design Under Stealthy Attacks and Improved Event-Triggered Protocols
Unifying Epidemic Models With Mixtures
Optimized Transmission for Parameter Estimation in Wireless Sensor Networks
Distributed Largest Eigenvalue-Based Spectrum Sensing Using Diffusion LMS
Distributed Constrained Optimization Algorithm for Higher-Order Multi-Agent Systems
Online Proximal-ADMM for Time-Varying Constrained Convex Optimization
Cluster Prediction for Opinion Dynamics From Partial Observations
Multiuser Wireless Power Transfer via Magnetic Resonant Coupling: Performance Analysis, Charging Control, and Power Region Characterization
Robust LOS Identification for Passive Multi-Target Localization in Multipath Obstructed Environments
Fixed-Time Optimal Fault-Tolerant Formation Control With Prescribed Performance for Fixed-Wing UAVs Under Dual Faults
Node Embedding via Word Embedding for Network Community Discovery
Distributed Detection With Vector Quantizer
A Method Exploiting the Channel-Training Phase to Achieve Secrecy in a Fading Broadcast Channel
Wasserstein-Based Graph Alignment
Change Detection in Dynamic Networks Using Network Characteristics
A Novel Spectral Graph Distance Measure and Its Applications in Biomedical Signal Processing
Spectral Graph Wavelets and Filter Banks With Low Approximation Error
On Reducing the Communication Cost of the Diffusion LMS Algorithm
The Graph Fractional Fourier Transform in Hilbert Space
A Game-Theoretic Approach to Fake-Acknowledgment Attack on Cyber-Physical Systems
Fairness With Low Resentment in Distributed Sensor Systems to Detect Emitters
Distributed Quantile Regression Over Sensor Networks
Inferring Structural Characteristics of Networks With Strong and Weak Ties From Fixed-Choice Surveys
Secrecy Constrained Distributed Detection in Sensor Networks
Distributed Model-Free Adaptive Predictive Control for MIMO Multi-Agent Systems With Deception Attack
Joint Sparsity Pattern Recovery With 1-b Compressive Sensing in Distributed Sensor Networks
Distributed Zeroth-Order Gradient Tracking for Weakly Convex Optimization Over Unbalanced Graphs
Graph Topology Inference With Derivative-Reproducing Property in RKHS: Algorithm and Convergence Analysis
Sparse Signal Detection With Compressive Measurements via Partial Support Set Estimation
Overhearing-Based Co-Operation for Two-Cell Network With Asymmetric Uplink-Downlink Traffics
D4L: Decentralized Dynamic Discriminative Dictionary Learning
A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation
Compensation-Based Distributed Model-Free Adaptive Control for Cyber-Attacks
OrthoNet: Multilayer Network Data Clustering
Online Non-Convex Non-Cooperative Cluster-Based Games With Byzantine Resiliency in Decentralized Multi-Agent Systems
Community Detection in Dynamic Networks: Equivalence Between Stochastic Blockmodels and Evolutionary Spectral Clustering
Extraction of Temporal Network Structures From Graph-Based Signals
A Secure Optimum Distributed Detection Scheme in Under-Attack Wireless Sensor Networks
Permutation Entropy for Graph Signals
Finite-Time Performance Mask Function-Based Distributed Privacy-Preserving Consensus: Case Study on Optimal Dispatch of Energy System
Distributed Extended Object Tracking Using Coupled Velocity Model From WLS Perspective
Learning the Interference Graph of a Wireless Network
Diffusion Generalized Kernel Maximum Correntropy Criterion Algorithm With Variable Center: Establishment and Performance Analysis
Power-Optimal Distributed Beamforming for Multi-Carrier Asynchronous Bidirectional Relay Networks
Managing Information Constraints Over Networks Through the Lens of Configuration Functions
Modulation-Free M2M Communications for Mission-Critical Applications
Distributed Online Learning Over Multitask Networks With Rank-One Model
Distributed Nonasymptotic Confidence Region Computation Over Sensor Networks
Virtual Convex Hull Based Distributed Iterative Localization for Mobile Sensor Networks Under Denial-of-Service Attacks
Latent Graphical Models of Multivariate Count Time Series
Secure Reduced-Dimensional Coding Scheme for Distributed Estimation With Communication Constraints
On the Achievable Performance-Complexity Tradeoffs of Relay-Aided Space Shift Keying
Discrete-Time Controllability of Cartesian Product Networks
Scalable Hypergraph Structure Learning With Diverse Smoothness Priors
Multi-Agent Global Prioritized Experience Learning for UAV Cooperative Jamming in Secure Communication
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
The Importance of Being Earnest: Social Sensing With Unknown Agent Quality
Privacy-Preserving Average Consensus: Privacy Analysis and Algorithm Design
t-HGSP: Hypergraph Signal Processing Using t-Product Tensor Decompositions
Distributed Cascaded Spline-Based Adaptive Graph Filters for Nonlinear Systems: Design and Performance Analysis
Efficient Approximation and Denoising of Graph Signals Using the Multiscale Basis Dictionaries
Multivariate Time Series Forecasting With GARCH Models on Graphs
Learning Graphs From Linear Measurements: Fundamental Trade-Offs and Applications
Hierarchical Overlapping Clustering of Network Data Using Cut Metrics
Distributed Estimation Under Sensor Attacks: Linear and Nonlinear Measurement Models
Channel Prediction With Location Uncertainty for Ad Hoc Networks
Probability-Constrained Distributed Non-Fragile Estimation Over Sensor Networks Subject to Stochastic Communication Protocol
Non-Fragile Distributed Fault Estimation for a Class of Nonlinear Time-Varying Systems Over Sensor Networks: The Finite-Horizon Case
A Novel Networked Online Recursive Identification Method for Multivariable Systems With Incomplete Measurement Information
Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference
Resource Allocation in Energy-Harvesting Sensor Networks
Distributed Saddle Point Problems for Strongly Concave-Convex Functions
Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets
Haar-Laplacian for Directed Graphs
scGraPhT: Merging Transformers and Graph Neural Networks for Single-Cell Annotation
Audit Bit Based Distributed Bayesian Detection in the Presence of Byzantines
New Diffusion Least-Mean-Squares Algorithms With Quantization and Privacy Awareness
Edge Caching in Multi-UAV-Enabled Radio Access Networks: 3D Modeling and Spectral Efficiency Optimization
Distributed $H_\infty$ Secure Fusion Estimation for Energy-Constrained Multi-Sensor Systems Under Hybrid Attacks
When to Make a Topic Popular Again? A Temporal Model for Topic Rehotting Prediction in Online Social Networks
Hierarchical Signal Processing for Tractable Power Flow Management in Electric Grid Networks
Uncertainty Quantification in Graphon Estimation Using Generalized Fiducial Inference
Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables
BDoG-Net: Algorithm Unrolling for Blind Deconvolution on Graphs
Event-Triggered Distributed Estimation With Inter-Event Information Retrieval
Online Distributed Learning Over Graphs With Multitask Graph-Filter Models
Communication-Efficient Federated Optimization Over Semi-Decentralized Networks
Clustering Brain-Network Time Series by Riemannian Geometry
Distributed Adaptive Multi-Task Learning Based on Partially Observed Graph Signals
The Impact of Random Actions on Opinion Dynamics
A Generic Framework for Fixed-Time Synchronization of Large Delayed Impulsive Neural Networks
Distributed-Graph-Based Statistical Approach for Intrusion Detection in Cyber-Physical Systems
Fully Distributed Model-Free Flocking of Multiple Euler-Lagrange Systems
Information Diffusion of Topic Propagation in Social Media
Data-Driven Containment Control for Nonlinear Multi-Agent Systems Under DoS Attacks and Actuator Faults
Reinforcement Learning-Based Event-Triggered Constrained Containment Control for Perturbed Multiagent Systems
Dynamic Event-Triggered Fusion Filtering for Multi-Sensor Rectangular Descriptor Systems With Random State Delay
Learning Graph Filters for Structure-Function Coupling Based Hub Node Identification
Label Guided Graph Optimized Convolutional Network for Semi-Supervised Learning
The Generalized Elastic Net for Least Squares Regression With Network-Aligned Signal and Correlated Design
Noise Resilient Distributed Average Consensus Over Directed Graphs
Information-Sharing Over Adaptive Networks With Self-Interested Agents
Learning General Brain Network Representations of Different Brain Disorders Using Invariant Subgraph GNN
How Likely is a Random Network Graph Shift-Enabled?