IEEE Transactions on Big Data

Article	Citations
A Query-Aware Method for Approximate Range Search in Hamming Space	317
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning	307
A Novel Concept-Cognitive Learning Model Oriented to Three-Way Concept for Knowledge Acquisition	140
FIFA: A Forest-Based Sliding Window Aggregation Scheme for Out-of-Order Data Streams	132
Bi-Selection of Instances and Features Based on Neighborhood Importance Degree	124
Towards Fair and Scalable Trial Assignment in Federated Bandits: A Shapley Value Approach	110
Using Construction Waste Hauling Trucks’ GPS Data to Classify Earthwork-Related Locations: A Chengdu Case Study	93
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification	88
A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data	80
A High-Throughput Method for Fabric in Scenarios With Multiple Aborted Transactions	75
A Fast Linearithmic Graph Clustering Approach for Big Data Using Gravitational Attraction Principle	75
A Structured Approach Towards Big Data Identification	71
Meta-Learning Based Classification for Moving Object Trajectories in Mobile IoT	69
SAP-IE: A Two-Stage Structural-Augmented Prompting Framework for Few-shot Information Extraction	65
Don’t Be Misled by Emotion! Disentangle Emotions and Semantics for Cross-Language and Cross-Domain Rumor Detection	64
FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning	64
FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization	64
CFBoost : Capacity-Boosting Feature Augmentation via Spatial-Geometrical Coordination	62
Approximate and Weighted Data Reconstruction Attack in Federated Learning	58
Mining Stable Communities in Temporal Networks by Density-Based Clustering	56
Aligning Crowd-Sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models	56
Risk-Constrained Reinforcement Learning With Augmented Lagrangian Multiplier for Portfolio Optimization	54
Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems	54
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection	54
System Identification With Fourier Transformation for Long-Term Time Series Forecasting	54

Natural Language Processing for Arabic Sentiment Analysis: A Systematic Literature Review	53
HGMRec: A Hypergraph-Based Medical Knowledge-Enhanced Literature Recommendation Model	51
On the Convergence of Federated Learning Algorithms Without Data Similarity	50
Automatic Recognition of Cyberbullying in the Web of Things and social media using Deep Learning Framework	48
BitAnalysis: A Visualization System for Bitcoin Wallet Investigation	47
Verifiable and Privacy-Preserving k-NN Query Scheme With Multiple Keys	46
Cosine Multilinear Principal Component Analysis for Recognition	44
IEMask R-CNN: Information-Enhanced Mask R-CNN	44
Edge-DPSDG: An Edge-Based Differential Privacy Protection Model for Smart Healthcare	43
Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Data	43
Determination of the Number of Clusters in High-Dimensional Data With Subspace Clusters	43
Research of Federated Learning Application Methods and Social Responsibility	42
Differential Modal Multistage Adaptive Fusion Networks via Knowledge Distillation for RGB-D Mirror Segmentation	41
SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection	40
Parallel Graph Learning With Temporal Stamp Encoding for Fraudulent Transactions Detections	38
Diffusion-Based Multi-Agent With Reinforcement Learning for Multimodal-Based Recommendation	37
Casformer: Information Popularity Prediction With Adaptive Cascade Sampling and Graph Transformer in Social Networks	37
Towards Fraud Detection via Fine-Grained Classification of User Behavior	37
Higher-Order Community Detection by Motif-Based Modularity Optimization	37
DTWformer: A DTW-Based Transformer for Multivariate Time Series Forecasting	36
C-GRPO: Calibrating Multimodal Reasoning via Entropy-Aware Data Curation and Policy Optimization	35
Learning Balanced Bayesian Classifiers From Labeled and Unlabeled Data	35
Joint Multi-Feature Information Entity Alignment for Cross-Lingual Temporal Knowledge Graph With BERT	35
Adapt Anything: Tailor Any Image Classifier Across Domains and Categories Using Text-to-Image Diffusion Models	35
Data-Driven Web APIs Recommendation for Building Web Applications	34
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference	34
Efficient Forward and Backward Private Conjunctive Searchable Encryption With Comprehensive Verification	34
Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise	33
RAT: R esidual A ttention T ransformer for Tabular Data	33
Multi-View Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation	32
Use of Transfer Learning for Affordable In-Context Fake Review Generation	32
Feature Subspace Learning-Based Binary Differential Evolution Algorithm for Unsupervised Feature Selection	31
Attention-Based Complex Logical Query on Temporal Knowledge Graph via Graph Neural Network	31
AnesFormer: An End-to-End Framework for EEG-Based Anesthetic State Classification	31
Hierarchical Lifelong Machine Learning With “Watchdog”	31
SIESTA: A Scalable Infrastructure of Sequential Pattern Analysis	30
Label Correction via Contrastive Embedding for Noisy Multi-label Learning	30
Efficient Dataset Distillation via Generative Pruning	29
A Comprehensive Image Protection Framework Based on High-Capacity Adversarial Data Hiding	29
Intent-Driven Semantic Query: An Effective Approach for Temporal Knowledge Graph Query	28
Efficient Event Inference and Context-Awareness in Internet of Things Edge Systems	27
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks	27
Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control	27
Data Exchange for the Metaverse With Accountable Decentralized TTPs and Incentive Mechanisms	27
Multi-View Clustering With Self-Representation and Structural Constraint	27
STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation	26
Efficiently Transfer User Profile Across Networks	26
Boosting Encrypted Traffic Classification Using Feature-Enhanced Recurrent Neural Network With Angle Constraint	26
Streaming Local Community Detection Through Approximate Conductance	26
Fine-Tuned Personality Federated Learning for Graph Data	26

Decentralized Federated Learning: A Survey on Security and Privacy	26
Two-Step Nyström Sampling for Large-Scale Kernel Approximation	26
SGAMF: Sparse Gated Attention-Based Multimodal Fusion Method for Fake News Detection	25
Fast Multi-View Outlier Detection via Deep Encoder	25
A Federated Convolution Transformer for Fake News Detection	25
Enhanced Approaches for Anomaly Detection in Streaming Data: Coupling Gaussian Distributions with Space Trees and Adaptive AutoEncoders	24
RGSE: Robust Graph Structure Embedding for Anomalous Link Detection	24
Practical Attribute Reconstruction Attack Against Federated Learning	23
Computing Significant Cliques in Large Labeled Networks	23
Multi-Dimensional Data Recovery via Feature-Based Fully-Connected Tensor Network Decomposition	23
Efficient Asynchronous Multi-Participant Vertical Federated Learning	23
Graph Prompt Learning Method for the Demand-Responsive Transport Routing Problem	23
Weak Supervision Learning for Object Co-Segmentation	22
An Effective 2-Dimension Graph Partitioning for Work Stealing Assisted Graph Processing on Multi-FPGAs	22
Topology-Based Node-Level Membership Inference Attacks on Graph Neural Networks	22
A Survey of Large Language Models for Traffic Forecasting: Methods and Applications	21
Information Switching Patterns of Risk Communication in Social Media During Disasters	21
PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-Rays and CT Scans via Parallel and Cross-Attended Encoders	21
Heterogeneous Social Event Detection via Hyperbolic Graph Representations	21
Metagraph-Based Life Pattern Clustering With Big Human Mobility Data	21
AugGPT: Leveraging ChatGPT for Text Data Augmentation	21
A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering	21
Dual-Channel Learning Framework for miRNA-Drug Interaction Prediction Based on Structural Features and Signed Bipartite Graph Neural Network	21
CEGOOD: Community Enhanced Graph Out-of-Distribution Detection	20
eBoF: Interactive Temporal Correlation Analysis for Ensemble Data Based on Bag-of-Features	20
Generation of Hard SAT Instances and Its Application in Negative Databases for Privacy Enhancement	20
CAPTOR: Cyber Attack Protection via Temporal Online Graph Representation Learning	20
Optimizing Deduplication Parameters via a Change-Estimation Analytical Model	19
Revocable DSSE in Healthcare Systems With Range Query Support	19
PureRx: A Non-Fungible Token-Based Prescription Management for Efficient and Secure Healthcare System	19
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors	19
Efficient and Privacy-Preserving Aggregate Query Over Public Property Graphs	19
Expertise or Hallucination? A Comprehensive Evaluation of ChatGPT's Aptitude in Clinical Genetics	18
Self-Attention Graph Convolution Residual Network for Traffic Data Completion	18
Multi-Label Graph Convolutional Network Representation Learning	18
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning	17
A Survey on the Methods and Results of Data-Driven Koopman Analysis in the Visualization of Dynamical Systems	17
Adaptive Graph Structure Learning Neural Rough Differential Equations for Multivariate Time Series Forecasting	17
GGNN: Graph-Based GPU Nearest Neighbor Search	17
A Survey on Spatio-Temporal Big Data Analytics Ecosystem: Resource Management, Processing Platform, and Applications	17
Substructure-Aware Graph Representation Learning via Adaptive Node Absorbing	16
GBDE: Granular-Ball Textual Adversarial Attacks With Differential Evolution	16
Core Maintenance on Dynamic Graphs: A Distributed Approach Built on H-Index	16
Editorial Emerging Horizons: The Rise of Large Language Models and Cross-Modal Generative AI	16
Efficient Learned Spatial Index With Interpolation Function Based Learned Model	16
Portraying Fine-Grained Tenant Portrait for Churn Prediction Using Semi-Supervised Graph Convolution and Attention Network	16
GTPool: Graph Transformer Pooling With Diverse Sampling	16
CTDI: CNN-Transformer-Based Spatial-Temporal Missing Air Pollution Data Imputation	15
Mobile Network Traffic Prediction Based on Seasonal Adjacent Windows Sampling and Conditional Probability Estimation	15
Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images	15
Outsourced Privacy-Preserving Data Alignment on Vertically Partitioned Database	15
Higher-Order Smoothness Enhanced Graph Collaborative Filtering	15
Bridging Local and Federated Data Normalization in Federated Learning: A Privacy-Preserving Approach	15
Efficient Interactive Global Cellular Signal Strength Visualization	15
Regression Analysis of Predictions and Forecasts of Cloud Data Center KPIs Using the Boosted Decision Tree Algorithm	15
An Overall Evaluation on Benefits of Competitive Influence Diffusion	15
Dynamic Entity-Based Named Entity Recognition Under Unconstrained Tagging Schemes	14
Multiscale Feature-Guided Adversarial Examples Quality Assessment via Hierarchical Perception of Human Visual System	14
Adaptive Superpixel Segmentation With Non-Uniform Seed Initialization	14
Improved Gradient Inversion Attacks and Defenses in Federated Learning	14
Online Non-Stationary Pricing Incentives for Budget-Limited Crowdsensing	14
GCLNet: Generalized Contrastive Learning for Weakly Supervised Temporal Action Localization	14
A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network	13
An Empirical Study Challenging the Ability of Heterogeneous Graph Neural Networks to Effectively Learn Topological Structures	13
Trajectory Similarity Hash Learning with Spatio-Temporal GRU	13
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder	13
Cepe-FL: Communication-Efficient and Privacy-Enhanced Federated Learning Via Adaptive Compressive Sensing	13
Distributed Dual Averaging Based Data Clustering	13
OpinionRank: Trustworthy Website Detection Using Three Valued Subjective Logic	13
TAG: Triple Alignment With Rationale Generation for Knowledge-Based Visual Question Answering	13
GE-GNN: Gated Edge-Augmented Graph Neural Network for Fraud Detection	12
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification	12
Unsupervised Cross-View Subspace Clustering via Adaptive Contrastive Learning	12
Efficient and Tractable Conflict Detection in Knowledge Graphs via Path Analysis	12
Traffic Flow Forecasting Based on Complex Gray Relational Degree Network and Multi-Period Exattention-GRU Model	12
Restoration of Recaptured Screen Images With a Divide and Conquer Strategy	12
Cost-Aware Triangle Counting Over Geo-Distributed Datacenters	12
LongArms: Fraud Prediction in Online Lending Services Using Sparse Knowledge Graph	12
Graph-Enhanced Multi-Scale Contrastive Learning for Graph Anomaly Detection With Adaptive Diffusion Models	12
Identification of Communities With Multi-Semantics via Bayesian Generative Model	12

Spatio-Temporal Transformer Network for Weather Forecasting	12
Many Hands Make Light Work: Group Influence Maximization in Evolving Social Networks	12
Towards Enhancing Inter-Domain Routing Security With Visualization and Visual Analytics	12
Parallel Overlapping Community Detection Algorithm on GPU	11
A Multi-Modal Hypergraph Neural Network via Parametric Filtering and Feature Sampling	11
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data	11
Robust Low Transformed Multi-Rank Tensor Completion With Deep Prior Regularization for Multi-Dimensional Image Recovery	11
ATLAS: GAN-Based Differentially Private Multi-Party Data Sharing	11
Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction	11
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications	11
Denoising Neural Relation Extraction for Spatio-Temporal Recommendation System	11
HEART: Historically Information Embedding and Subspace Re-Weighting Transformer-Based Tracking	11
Big Data for the Social Good: The Drought Early-Warning Experience Report	11
Efficient FCTN Decomposition With Structural Sparsity for Noisy Tensor Completion	11
Generative-Contrastive Heterogeneous Graph Neural Network	11
Adaptive Powerball Stochastic Conjugate Gradient for Large-Scale Learning	11
LLM with Relation Classifier for Document-Level Relation Extraction	11
Discovering High-utility Sequential Rules with Increasing Utility Ratio	11
Representation Decorrelation Guided Robust Image Retrieval against Label Noise	11
Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning	10
Deep Convolutional Neural Network Based Medical Concept Normalization	10
Unlocking Large Language Model Power in Industry: Privacy-Preserving Collaborative Creation of Knowledge Graph	10
Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective	10
Epidemic Spread Modeling for COVID-19 Using Cross-Fertilization of Mobility Data	10
CLIP2LE: A Label Enhancement Fair Representation Method via CLIP	10
A Survey of Data Pricing for Data Marketplaces	10
EvoSets: Tracking the Sensitivity of Dimensionality Reduction Results Across Subspaces	10
Blockchain-Empowered Federated Learning: Benefits, Challenges, and Solutions	10
Unsupervised Projected Sample Selector for Active Learning	10
Self-Representation-Based Generative Graph Neural Networks for End-to-End Link Prediction	10
PEXP: A Scalable Parallel Tree-Based Framework for Interpreting Models on Big Data	10
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies	10
Task Allocation Under Geo-Indistinguishability via Group-Based Noise Addition	10
A Survey of Blockchain-Based Schemes for Data Sharing and Exchange	10
Behavior Habits Enhanced Intention Learning for Session Based Recommendation	10
GCN-ST-MDIR: Graph Convolutional Network-Based Spatial-Temporal Missing Air Pollution Data Pattern Identification and Recovery	10
Can GNNs Learn Link Heuristics? a Concise Review and Evaluation of Link Prediction Methods	9
SARF: Sparsity-Aware Reconstruction Framework for Large-Scale Datasets	9
MiSTR: A Multiview Structural-Temporal Learning Framework for Rumor Detection	9
Multi-Objective Graph Contrastive Learning for Recommendation	9
Robust Semi-Supervised Deep Nonnegative Matrix Factorization With Constraint Propagation for Data Representation	9
Reputation-Aware Federated Learning Client Selection Based on Stochastic Integer Programming	9
Towards an Energy Complexity Model for Distributed Data Processing Algorithms	9
FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels	9
Memory Scaling of Cloud-Based Big Data Systems: A Hybrid Approach	9
Dynamic Radio Map Construction With Minimal Manual Intervention: A State Space Model-Based Approach With Imitation Learning	9
Using App Usage Data From Mobile Devices to Improve Activity-Based Travel Demand Models	9
Denoised Graph Collaborative Filtering via Neighborhood Similarity and Dynamic Thresholding	9
Inter-class Enhanced Feature Correlation for Adaptive Online Knowledge Distillation	9
MultiTec: A Data-Driven Multimodal Short Video Detection Framework for Healthcare Misinformation on TikTok	9
Weakly-Supervised Camouflaged Object Detection via SAM-Guided Resolution Iteration Learning	9
Practical Vertical Federated Learning With Unsupervised Representation Learning	9
A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction	9
Scalable Evidential K-Nearest Neighbor Classification on Big Data	9
A Multimodal Implicit Q-Learning Based Football Goalkeeper Performance Evaluating Model	9
FIG: Feature-Weighted Information Granules With High Consistency Rate	9
DAG-EnseFL: DAG-Based Asynchronous Federated Learning With Ensemble Distillation	9
rPBFT: Reliable Practical Byzantine Fault Tolerance Mechanism for Faulty Distributed Networks	9
A Distributed Generative Adversarial Network for Data Augmentation Under Vertical Federated Learning	8
Knowledge Aggregation Transformer Network for Multivariate Time Series Classification	8
Stable Learning via Dual Feature Learning	8
Preference-Aware Multimodal Contrastive Learning Recommendation	8
Heterogeneous Device Collaboration Based Federated Learning for Big Data Applications	8
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach	8
AFS-FCM With Memory: A Model for Air Quality Multi-Dimensional Prediction With Interpretability	8
Robust Bayesian Dynamic Graph Embedding via Contrastive Learning	8
MinoRare: Handling Rare Minority Instances in Imbalanced and Drifting Data Streams Through Adaptive Instance Weighting Scheme	8
PR3: Reversible and Usability-Enhanced Visual Privacy Protection via Thumbnail Preservation and Data Hiding	8
Knockoff-Guided Feature Selection via a Single Pre-Trained Reinforced Agent	8
Supervised Discrete Multiple-Length Hashing for Image Retrieval	8
Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning	8
DCLCSE: Dynamic Curriculum Learning Based Contrastive Learning of Sentence Embeddings	8
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data	8
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion	8
scProGraph: A Cell Bagging Strategy for Cell Type Annotation With Gene Interaction-Aware Explainability	8
Data Reconstruction and Protection in Federated Learning for Fine-Tuning Large Language Models	7
TS-MLLM: A Multi-Modal Large Language Model-based Framework for Industrial Time-Series Big Data Analysis	7
Utility-Driven Data Analytics Algorithm for Transaction Modifications Using Pre-Large Concept With Single Database Scan	7
Training Large-Scale Graph Neural Networks via Graph Partial Pooling	7
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs	7
NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs	7
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing	7
Resource-Aware Federated Neural Architecture Search over Heterogeneous Mobile Devices	7
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities	7
Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift	7
Emulating Reader Behaviors for Fake News Detection	7
Robust Joint Graph Learning for Multi-View Clustering	7
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation	7
Self-Guided Graph Refinement With Progressive Fusion for Multiplex Graph Contrastive Representation Learning	7
Data-Free Knowledge Filtering and Distillation in Federated Learning	7
Editorial High-Performance Recommender Systems Based on Spatiotemporal Data	7
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification	7
SBPA: Sybil-Based Backdoor Poisoning Attacks for Distributed Big Data in AIoT-Based Federated Learning System	7
A Scalable Algorithm for Large-Scale Unsupervised Multi-View Partial Least Squares	7
AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association	6