IEEE Transactions on Big Data

Article	Citations
A Query-Aware Method for Approximate Range Search in Hamming Space	386
Bi-Selection of Instances and Features Based on Neighborhood Importance Degree	323
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification	156
Towards Fair and Scalable Trial Assignment in Federated Bandits: A Shapley Value Approach	156
A High-Throughput Method for Fabric in Scenarios With Multiple Aborted Transactions	113
A Structured Approach Towards Big Data Identification	89
Meta-Learning Based Classification for Moving Object Trajectories in Mobile IoT	79
SAP-IE: A Two-Stage Structural-Augmented Prompting Framework for Few-shot Information Extraction	78
FIFA: A Forest-Based Sliding Window Aggregation Scheme for Out-of-Order Data Streams	75
FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning	70
CFBoost : Capacity-Boosting Feature Augmentation via Spatial-Geometrical Coordination	68
Approximate and Weighted Data Reconstruction Attack in Federated Learning	67
Using Construction Waste Hauling Trucks’ GPS Data to Classify Earthwork-Related Locations: A Chengdu Case Study	67
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection	65
A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data	63
A Novel Concept-Cognitive Learning Model Oriented to Three-Way Concept for Knowledge Acquisition	59
A Fast Linearithmic Graph Clustering Approach for Big Data Using Gravitational Attraction Principle	59
Don’t Be Misled by Emotion! Disentangle Emotions and Semantics for Cross-Language and Cross-Domain Rumor Detection	59
Aligning Crowd-Sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models	57
Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems	57
On the Convergence of Federated Learning Algorithms Without Data Similarity	54
Natural Language Processing for Arabic Sentiment Analysis: A Systematic Literature Review	54
Verifiable and Privacy-Preserving k-NN Query Scheme With Multiple Keys	51
Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Data	50
SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection	50

Cosine Multilinear Principal Component Analysis for Recognition	50
Determination of the Number of Clusters in High-Dimensional Data With Subspace Clusters	50
Risk-Constrained Reinforcement Learning With Augmented Lagrangian Multiplier for Portfolio Optimization	48
Differential Modal Multistage Adaptive Fusion Networks via Knowledge Distillation for RGB-D Mirror Segmentation	47
Diffusion-Based Multi-Agent With Reinforcement Learning for Multimodal-Based Recommendation	46
Parallel Graph Learning With Temporal Stamp Encoding for Fraudulent Transactions Detections	45
Higher-Order Community Detection by Motif-Based Modularity Optimization	45
Edge-DPSDG: An Edge-Based Differential Privacy Protection Model for Smart Healthcare	44
Automatic Recognition of Cyberbullying in the Web of Things and social media using Deep Learning Framework	44
DTWformer: A DTW-Based Transformer for Multivariate Time Series Forecasting	43
Casformer: Information Popularity Prediction With Adaptive Cascade Sampling and Graph Transformer in Social Networks	41
HGMRec: A Hypergraph-Based Medical Knowledge-Enhanced Literature Recommendation Model	41
System Identification With Fourier Transformation for Long-Term Time Series Forecasting	39
Towards Fraud Detection via Fine-Grained Classification of User Behavior	38
BitAnalysis: A Visualization System for Bitcoin Wallet Investigation	38
IEMask R-CNN: Information-Enhanced Mask R-CNN	38
Research of Federated Learning Application Methods and Social Responsibility	37
Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise	36
Feature Subspace Learning-Based Binary Differential Evolution Algorithm for Unsupervised Feature Selection	35
Efficient Forward and Backward Private Conjunctive Searchable Encryption With Comprehensive Verification	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
Use of Transfer Learning for Affordable In-Context Fake Review Generation	34
Learning Balanced Bayesian Classifiers From Labeled and Unlabeled Data	34
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference	33
Multi-View Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation	33
C-GRPO: Calibrating Multimodal Reasoning via Entropy-Aware Data Curation and Policy Optimization	33
RAT: R esidual A ttention T ransformer for Tabular Data	33
AnesFormer: An End-to-End Framework for EEG-Based Anesthetic State Classification	32
Intent-Driven Semantic Query: An Effective Approach for Temporal Knowledge Graph Query	32
SIESTA: A Scalable Infrastructure of Sequential Pattern Analysis	32
Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control	31
Data Exchange for the Metaverse With Accountable Decentralized TTPs and Incentive Mechanisms	31
Fine-Tuned Personality Federated Learning for Graph Data	30
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks	29
Attention-Based Complex Logical Query on Temporal Knowledge Graph via Graph Neural Network	29
Multi-View Clustering With Self-Representation and Structural Constraint	28
Momentum-Kan: Traffic Flow Forecasting Via Frequency-Disentangled Modulator and Energy-Driven KANs	28
A Comprehensive Image Protection Framework Based on High-Capacity Adversarial Data Hiding	28
Boosting Encrypted Traffic Classification Using Feature-Enhanced Recurrent Neural Network With Angle Constraint	27
Label Correction via Contrastive Embedding for Noisy Multi-Label Learning	27
Efficient Dataset Distillation via Generative Pruning	27
Hierarchical Lifelong Machine Learning With “Watchdog”	26
STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation	26
SLyCE: An Efficient S urrogate-based L oss y C	26
Decentralized Federated Learning: A Survey on Security and Privacy	25
Streaming Local Community Detection Through Approximate Conductance	25
A Federated Convolution Transformer for Fake News Detection	25
Efficiently Transfer User Profile Across Networks	25
Fast Multi-View Outlier Detection via Deep Encoder	25

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

Traceable, Fair and Privacy-Preserving Decentralized Medical Data Exchange	12
LLM With Relation Classifier for Document-Level Relation Extraction	12
Towards Enhancing Inter-Domain Routing Security With Visualization and Visual Analytics	12
Many Hands Make Light Work: Group Influence Maximization in Evolving Social Networks	12
Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction	12
Interdependence Matters! a Novel Approach to Fraudulent Reviewer Detection Using Review Texts and Reviewer Behavior	12
ATLAS: GAN-Based Differentially Private Multi-Party Data Sharing	12
Big Data for the Social Good: The Drought Early-Warning Experience Report	12
EvoSets: Tracking the Sensitivity of Dimensionality Reduction Results Across Subspaces	11
Blockchain-Empowered Federated Learning: Benefits, Challenges, and Solutions	11
A Survey of Blockchain-Based Schemes for Data Sharing and Exchange	11
GCN-ST-MDIR: Graph Convolutional Network-Based Spatial-Temporal Missing Air Pollution Data Pattern Identification and Recovery	11
Representation Decorrelation Guided Robust Image Retrieval Against Label Noise	11
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications	11
HEART: Historically Information Embedding and Subspace Re-Weighting Transformer-Based Tracking	11
CLIP2LE: A Label Enhancement Fair Representation Method via CLIP	11
PEXP: A Scalable Parallel Tree-Based Framework for Interpreting Models on Big Data	11
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies	11
Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective	11
Denoising Neural Relation Extraction for Spatio-Temporal Recommendation System	11
Unlocking Large Language Model Power in Industry: Privacy-Preserving Collaborative Creation of Knowledge Graph	11
Efficient FCTN Decomposition With Structural Sparsity for Noisy Tensor Completion	11
Discovering High-Utility Sequential Rules With Increasing Utility Ratio	11
Task Allocation Under Geo-Indistinguishability via Group-Based Noise Addition	11
Generative-Contrastive Heterogeneous Graph Neural Network	11
Epidemic Spread Modeling for COVID-19 Using Cross-Fertilization of Mobility Data	10
Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning	10
Self-Representation-Based Generative Graph Neural Networks for End-to-End Link Prediction	10
Scalable Evidential K-Nearest Neighbor Classification on Big Data	10
A Multimodal Implicit Q-Learning Based Football Goalkeeper Performance Evaluating Model	10
Enhancing Contrastive Learning on Learnable Graph Augmentation	10
Deep Convolutional Neural Network Based Medical Concept Normalization	10
A Survey of Data Pricing for Data Marketplaces	10
Dynamic Radio Map Construction With Minimal Manual Intervention: A State Space Model-Based Approach With Imitation Learning	10
FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels	10
Unsupervised Projected Sample Selector for Active Learning	10
Behavior Habits Enhanced Intention Learning for Session Based Recommendation	10
Robust Low Transformed Multi-Rank Tensor Completion With Deep Prior Regularization for Multi-Dimensional Image Recovery	10
MiSTR: A Multiview Structural-Temporal Learning Framework for Rumor Detection	10
Using App Usage Data From Mobile Devices to Improve Activity-Based Travel Demand Models	10
SARF: Sparsity-Aware Reconstruction Framework for Large-Scale Datasets	10
Heterogeneous Device Collaboration Based Federated Learning for Big Data Applications	9
State Space Models over Directed Graphs	9
Weakly-Supervised Camouflaged Object Detection via SAM-Guided Resolution Iteration Learning	9
Memory Scaling of Cloud-Based Big Data Systems: A Hybrid Approach	9
rPBFT: Reliable Practical Byzantine Fault Tolerance Mechanism for Faulty Distributed Networks	9
Denoised Graph Collaborative Filtering via Neighborhood Similarity and Dynamic Thresholding	9
Practical Vertical Federated Learning With Unsupervised Representation Learning	9
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion	9
FIG: Feature-Weighted Information Granules With High Consistency Rate	9
Multi-Objective Graph Contrastive Learning for Recommendation	9
DAG-EnseFL: DAG-Based Asynchronous Federated Learning With Ensemble Distillation	9
SepFPL: Structural Entropy Enhanced Privacy Preserving Personalized Federated Prompt Learning	9
A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction	9
Reputation-Aware Federated Learning Client Selection Based on Stochastic Integer Programming	9
Towards an Energy Complexity Model for Distributed Data Processing Algorithms	9
Can GNNs Learn Link Heuristics? a Concise Review and Evaluation of Link Prediction Methods	9
Inter-class Enhanced Feature Correlation for Adaptive Online Knowledge Distillation	9
Robust Semi-Supervised Deep Nonnegative Matrix Factorization With Constraint Propagation for Data Representation	9
MultiTec: A Data-Driven Multimodal Short Video Detection Framework for Healthcare Misinformation on TikTok	9
Supervised Discrete Multiple-Length Hashing for Image Retrieval	8
Preference-Aware Multimodal Contrastive Learning Recommendation	8
AFS-FCM With Memory: A Model for Air Quality Multi-Dimensional Prediction With Interpretability	8
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs	8
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data	8
DCLCSE: Dynamic Curriculum Learning Based Contrastive Learning of Sentence Embeddings	8
Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning	8
scProGraph: A Cell Bagging Strategy for Cell Type Annotation With Gene Interaction-Aware Explainability	8
Adaptive fuzzy double c-means clustering via knowledge transferring latent factor analysis	8
PR3: Reversible and Usability-Enhanced Visual Privacy Protection via Thumbnail Preservation and Data Hiding	8
Emulating Reader Behaviors for Fake News Detection	8
A Distributed Generative Adversarial Network for Data Augmentation Under Vertical Federated Learning	8
Knockoff-Guided Feature Selection via a Single Pre-Trained Reinforced Agent	8
Robust Bayesian Dynamic Graph Embedding via Contrastive Learning	8
Knowledge Aggregation Transformer Network for Multivariate Time Series Classification	8
Self-Guided Graph Refinement With Progressive Fusion for Multiplex Graph Contrastive Representation Learning	8
DMCLR: Dual-Denoising Multimodal Contrastive Learning for Robust Recommendation	8
Stable Learning via Dual Feature Learning	8
TS-MLLM: A Multi-Modal Large Language Model-based Framework for Industrial Time-Series Big Data Analysis	7
Training Large-Scale Graph Neural Networks via Graph Partial Pooling	7
Learning From Crowds Using Graph Neural Networks With Attention Mechanism	7
3A Multi-Classification Division-Aggregation Framework for Fake News Detection	7
LBFL: A Lightweight Blockchain-Based Federated Learning Framework With Proof-of-Contribution Committee Consensus	7
NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs	7
SBPA: Sybil-Based Backdoor Poisoning Attacks for Distributed Big Data in AIoT-Based Federated Learning System	7
A Privacy-Preserving Large-Scale Image Retrieval Framework With Vision GNN Hashing	7
Data-Free Knowledge Filtering and Distillation in Federated Learning	7
Differential Encoding for Improved Representation Learning Over Graphs	7
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities	7
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records	7
Robust Joint Graph Learning for Multi-View Clustering	7
Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach	7
Data-Centric Graph Learning: A Survey	7
A Multiplex Hypergraph Attribute-Based Graph Collaborative Filtering for Cold-Start POI Recommendation	7
ClueKGC: Clue-Augmented Prompting for Knowledge Graph Completion	7