IEEE Transactions on Big Data

Article	Citations
A Query-Aware Method for Approximate Range Search in Hamming Space	1303
FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization	293
A Structured Approach Towards Big Data Identification	189
Don’t Be Misled by Emotion! Disentangle Emotions and Semantics for Cross-Language and Cross-Domain Rumor Detection	104
Bi-Selection of Instances and Features Based on Neighborhood Importance Degree	100
Towards Fair and Scalable Trial Assignment in Federated Bandits: A Shapley Value Approach	85
A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data	82
Meta-Learning Based Classification for Moving Object Trajectories in Mobile IoT	81
A novel concept-cognitive learning model oriented to three-way concept for knowledge acquisition	80
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning	62
Mining Stable Communities in Temporal Networks by Density-Based Clustering	62
FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning	60
FIFA: A Forest-based Sliding Window Aggregation Scheme for Out-of-Order Data Streams	60
Aligning Crowd-Sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models	55
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection	45
Billion-Scale Similarity Search with GPUs	44
Cosine Multilinear Principal Component Analysis for Recognition	42
On the Convergence of Federated Learning Algorithms Without Data Similarity	42
Edge-DPSDG: An Edge-Based Differential Privacy Protection Model for Smart Healthcare	42
Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems	42
IEMask R-CNN: Information-Enhanced Mask R-CNN	39
BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition	39
Natural Language Processing for Arabic Sentiment Analysis: A Systematic Literature Review	39
Research of Federated Learning Application Methods and Social Responsibility	37
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification	37

Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems	36
Verifiable and Privacy-Preserving $k$-NN Query Scheme with Multiple Keys	36
Towards Fraud Detection Via Fine-Grained Classification of User Behavior	35
Parallel Graph Learning with Temporal Stamp Encoding for Fraudulent Transactions Detections	34
SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection	33
Casformer: Information Popularity Prediction With Adaptive Cascade Sampling and Graph Transformer in Social Networks	33
Risk-Constrained Reinforcement Learning With Augmented Lagrangian Multiplier for Portfolio Optimization	33
Automatic Recognition of Cyberbullying in the Web of Things and social media using Deep Learning Framework	32
Differential Modal Multistage Adaptive Fusion Networks via Knowledge Distillation for RGB-D Mirror Segmentation	32
System Identification With Fourier Transformation for Long-Term Time Series Forecasting	32
Higher-order Community Detection by Motif-based Modularity Optimization	31
BitAnalysis: A Visualization System for Bitcoin Wallet Investigation	31
Feature Subspace Learning-Based Binary Differential Evolution Algorithm for Unsupervised Feature Selection	30
Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise	30
Adapt Anything: Tailor Any Image Classifier across Domains And Categories Using Text-to-Image Diffusion Models	29
Joint Multi-Feature Information Entity Alignment for Cross-Lingual Temporal Knowledge Graph With BERT	29
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location	29
Use of transfer learning for affordable in-context fake review generation	28
A Comprehensive Trustworthy Data Collection Approach in Sensor-Cloud Systems	27
Data-Driven Web APIs Recommendation for Building Web Applications	27
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference	27
Learning Balanced Bayesian Classifiers From Labeled and Unlabeled Data	25
Efficient Forward and Backward Private Conjunctive Searchable Encryption with Comprehensive Verification	24
AnesFormer: An End-to-End Framework for EEG-Based Anesthetic State Classification	24
Data Exchange for the Metaverse with Accountable Decentralized TTPs and Incentive Mechanisms	23
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks	23
Fine-Tuned Personality Federated Learning for Graph Data	23
Efficient Event Inference and Context-Awareness in Internet of Things Edge Systems	23
Hierarchical Lifelong Machine Learning With “Watchdog”	23
ScaleJoin: A Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join	23
Attention-Based Complex Logical Query on Temporal Knowledge Graph via Graph Neural Network	23
STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation	22
Decentralized Federated Learning: A Survey on Security and Privacy	22
Multi-View Clustering With Self-Representation and Structural Constraint	22
SIESTA: A Scalable Infrastructure of Sequential Pattern Analysis	22
Boosting Encrypted Traffic Classification Using Feature-Enhanced Recurrent Neural Network with Angle Constraint	22
Semantic-Based and Entity-Resolution Fusion to Enhance Quality of Big RDF Data	22
Metagraph-Based Life Pattern Clustering With Big Human Mobility Data	21
Information Switching Patterns of Risk Communication in Social Media during Disasters	21
Heterogeneous Social Event Detection via Hyperbolic Graph Representations	21
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing	21
Weak Supervision Learning for Object Co-Segmentation	20
Discovering and Understanding Geographical Video Viewing Patterns in Urban Neighborhoods	20
An Effective 2-Dimension Graph Partitioning for Work Stealing Assisted Graph Processing on Multi-FPGAs	20
RGSE: Robust Graph Structure Embedding for Anomalous Link Detection	19
Efficient Asynchronous Multi-Participant Vertical Federated Learning	19
Streaming Local Community Detection Through Approximate Conductance	19
Practical Attribute Reconstruction Attack Against Federated Learning	19
Computing Significant Cliques in Large Labeled Networks	19
Graph Prompt Learning Method for the Demand-Responsive Transport Routing Problem	18

Efficiently Transfer User Profile Across Networks	18
Multi-Dimensional Data Recovery via Feature-Based Fully-Connected Tensor Network Decomposition	18
SGAMF: Sparse Gated Attention-Based Multimodal Fusion Method for Fake News Detection	18
Fast Multi-View Outlier Detection via Deep Encoder	18
A Federated Convolution Transformer for Fake News Detection	18
Heterogeneous Daily Living Activity Learning Through Domain Invariant Feature Subspace	17
AugGPT: Leveraging ChatGPT for Text Data Augmentation	17
eBoF: Interactive Temporal Correlation Analysis for Ensemble Data Based on Bag-of-Features	17
Adaptive Graph Structure Learning Neural Rough Differential Equations for Multivariate Time Series Forecasting	17
Topology-based Node-level Membership Inference Attacks on Graph Neural Networks	17
Efficient and Privacy-Preserving Aggregate Query Over Public Property Graphs	17
A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering	17
Expertise or Hallucination? A Comprehensive Evaluation of ChatGPT's Aptitude in Clinical Genetics	16
Uncovering Local Hierarchical Overlapping Communities at Scale	16
Distributed Sparse Class-Imbalance Learning and Its Applications	16
Linear Time Community Detection by a Novel Modularity Gain Acceleration in Label Propagation	16
Revocable DSSE in Healthcare Systems with Range Query Support	16
Self-Attention Graph Convolution Residual Network for Traffic Data Completion	16
PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-rays and CT Scans via Parallel and Cross-Attended Encoders	16
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors	15
Multi-Label Graph Convolutional Network Representation Learning	15
Multiple Distance-Based Coding: Toward Scalable Feature Matching for Large-Scale Web Image Search	15
A Survey on the Methods and Results of Data-Driven Koopman Analysis in the Visualization of Dynamical Systems	15
A Survey on Spatio-Temporal Big Data Analytics Ecosystem: Resource Management, Processing Platform, and Applications	15
GGNN: Graph-Based GPU Nearest Neighbor Search	15
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning	15
Managing Big Interval Data with CINTIA: The Checkpoint INTerval Array	15
Higher-Order Smoothness Enhanced Graph Collaborative Filtering	15
An Overall Evaluation on Benefits of Competitive Influence Diffusion	14
Core Maintenance on Dynamic Graphs: A Distributed Approach Built on H-Index	14
Mobile Network Traffic Prediction Based on Seasonal Adjacent Windows Sampling and Conditional Probability Estimation	14
Regression Analysis of Predictions and Forecasts of Cloud Data Center KPIs Using the Boosted Decision Tree Algorithm	14
GCLNet: Generalized Contrastive Learning for Weakly Supervised Temporal Action Localization	13
Efficient Learned Spatial Index With Interpolation Function Based Learned Model	13
CTDI: CNN-Transformer-Based Spatial-Temporal Missing Air Pollution Data Imputation	13
Efficient Interactive Global Cellular Signal Strength Visualization	13
Portraying Fine-grained Tenant Portrait for Churn Prediction using Semi-supervised Graph Convolution and Attention Network	13
Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images	13
Modeling and Visualizing Student Flow	12
Improved Gradient Inversion Attacks and Defenses in Federated Learning	12
Outsourced Privacy-Preserving Data Alignment on Vertically Partitioned Database	12
OpinionRank: Trustworthy Website Detection Using Three Valued Subjective Logic	11
A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network	11
Cepe-FL: Communication-efficient and Privacy-enhanced Federated Learning via Adaptive Compressive Sensing	11
Adaptive Superpixel Segmentation With Non-Uniform Seed Initialization	11
Multiscale Feature-guided Adversarial Examples Quality Assessment via Hierarchical Perception of Human Visual System	11
Identity-Based Dynamic Data Auditing for Big Data Storage	11
Online Non-Stationary Pricing Incentives for Budget-Limited Crowdsensing	11
GE-GNN: Gated Edge-augmented Graph Neural Network for Fraud Detection	10
Distributed Dual Averaging Based Data Clustering	10
Cost-Aware Triangle Counting over Geo-Distributed Datacenters	10
Spatio-Temporal Transformer Network for Weather Forecasting	10
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder	10
Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction	10
Dynamic Entity-Based Named Entity Recognition Under Unconstrained Tagging Schemes	10
Towards the Inference of Travel Purpose with Heterogeneous Urban Data	10
Towards Enhancing Inter-Domain Routing Security with Visualization and Visual Analytics	10
Restoration of Recaptured Screen Images with A Divide and Conquer Strategy	10
Identification of Communities With Multi-Semantics via Bayesian Generative Model	9
Adaptive Powerball Stochastic Conjugate Gradient for Large-Scale Learning	9
Denoising Neural Relation Extraction for Spatio-temporal Recommendation System	9
Unsupervised Cross-View Subspace Clustering via Adaptive Contrastive Learning	9
A Multi-Modal Hypergraph Neural Network via Parametric Filtering and Feature Sampling	9
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification	9
Efficient Graph Processing with Invalid Update Filtration	9
Many Hands Make Light Work: Group Influence Maximization in Evolving Social Networks	9
Data-Driven Digital Advertising with Uncertain Demand Model in Metro Networks	9
Parallel Overlapping Community Detection Algorithm on GPU	9
Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning	8
LSTM Based Phishing Detection for Big Email Data	8
HEART: Historically Information Embedding and Subspace Re-Weighting Transformer-Based Tracking	8
ATLAS: GAN-Based Differentially Private Multi-Party Data Sharing	8
LongArms: Fraud Prediction in Online Lending Services Using Sparse Knowledge Graph	8
Deep Convolutional Neural Network Based Medical Concept Normalization	8
Robust Low Transformed Multi-Rank Tensor Completion With Deep Prior Regularization for Multi-Dimensional Image Recovery	8
A Survey of Blockchain-Based Schemes for Data Sharing and Exchange	8
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies	8
Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions	8
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications	8
A Survey of Data Pricing for Data Marketplaces	8

GCN-ST-MDIR: Graph Convolutional Network-Based Spatial-Temporal Missing Air Pollution Data Pattern Identification and Recovery	8
Task Allocation Under Geo-Indistinguishability via Group-Based Noise Addition	8
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data	8
Big Data for the Social Good: The Drought Early-Warning Experience Report	8
Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective	8
Unlocking Large Language Model Power in Industry: Privacy-Preserving Collaborative Creation of Knowledge Graph	8
MiSTR: A Multiview Structural-Temporal Learning Framework for Rumor Detection	7
Scalable Evidential K-Nearest Neighbor Classification on Big Data	7
Unsupervised Projected Sample Selector for Active Learning	7
Dynamic Radio Map Construction With Minimal Manual Intervention: A State Space Model-Based Approach With Imitation Learning	7
FIG: Feature-Weighted Information Granules With High Consistency Rate	7
A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction	7
Memory Scaling of Cloud-Based Big Data Systems: A Hybrid Approach	7
Reputation-Aware Federated Learning Client Selection Based on Stochastic Integer Programming	7
EvoSets: Tracking the Sensitivity of Dimensionality Reduction Results Across Subspaces	7
Robust Semi-Supervised Deep Nonnegative Matrix Factorization with Constraint Propagation for Data Representation	7
Practical Vertical Federated Learning With Unsupervised Representation Learning	7
MultiTec: A Data-Driven Multimodal Short Video Detection Framework for Healthcare Misinformation on TikTok	7
Heterogeneous Device Collaboration Based Federated Learning for Big Data Applications	7
Epidemic Spread Modeling for COVID-19 Using Cross-Fertilization of Mobility Data	7
Using App Usage Data From Mobile Devices to Improve Activity-Based Travel Demand Models	7
Trust Based Incentive Scheme to Allocate Big Data Tasks with Mobile Social Cloud	7
Understanding the Users and Videos by Mining a Novel Danmu Dataset	7
FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels	7
Multi-Objective Graph Contrastive Learning for Recommendation	7
Denoised Graph Collaborative Filtering via Neighborhood Similarity and Dynamic Thresholding	7
AFS-FCM With Memory: A Model for Air Quality Multi-Dimensional Prediction With Interpretability	6
Utility-driven Data Analytics Algorithm for Transaction Modifications Using Pre-large Concept with Single Database Scan	6
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data	6
SBPA: Sybil-Based Backdoor Poisoning Attacks for Distributed Big Data in AIoT-Based Federated Learning System	6
DCLCSE: Dynamic Curriculum Learning Based Contrastive Learning of Sentence Embeddings	6
Supervised Discrete Multiple-Length Hashing for Image Retrieval	6
On Security of an Identity-Based Dynamic Data Auditing Protocol for Big Data Storage	6
Towards an Energy Complexity Model for Distributed Data Processing Algorithms	6
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing	6
Data Reconstruction and Protection in Federated Learning for Fine-Tuning Large Language Models	6
A Scalable Algorithm for Large-Scale Unsupervised Multi-View Partial Least Squares	6
Resource-Aware Federated Neural Architecture Search over Heterogeneous Mobile Devices	6
Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning	6
PR3: Reversible and Usability-Enhanced Visual Privacy Protection via Thumbnail Preservation and Data Hiding	6
A Distributed Generative Adversarial Network for Data Augmentation Under Vertical Federated Learning	6
Robust Joint Graph Learning for Multi-View Clustering	6
Training Large-Scale Graph Neural Networks via Graph Partial Pooling	6
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities	6
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation	6
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach	6
Self-Guided Graph Refinement with Progressive Fusion for Multiplex Graph Contrastive Representation Learning	5
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs	5
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification	5
Emulating Reader Behaviors for Fake News Detection	5
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records	5
TgStore: An Efficient Storage System for Large Time-Evolving Graphs	5
zkFL: Zero-Knowledge Proof-Based Gradient Aggregation for Federated Learning	5
A Multiplex Hypergraph Attribute-based Graph Collaborative Filtering for Cold-start POI Recommendation	5
NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs	5
Data-Free Knowledge Filtering and Distillation in Federated Learning	5
Noiseless Privacy: Definition, Guarantees, and Applications	5
A Privacy-preserving Large-scale Image Retrieval Framework with Vision GNN Hashing	5
How to Protect Ourselves From Overlapping Community Detection in Social Networks	5
Tailored Definitions With Easy Reach: Complexity-Controllable Definition Generation	5
Stable Learning via Dual Feature Learning	5
Large Language Models for Link Stealing Attacks Against Graph Neural Networks	5
Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift	5
Data-Centric Graph Learning: A Survey	5
3A Multi-Classification Division-Aggregation Framework for Fake News Detection	5
Learning From Crowds Using Graph Neural Networks With Attention Mechanism	5
TUSQ: Targeted High-Utility Sequence Querying	4
Comment on “Efficient Secure Outsourcing of Large-Scale Sparse Linear Systems of Equations”	4
Citywide Traffic Volume Inference with Surveillance Camera Records	4
Cross-Region Courier Displacement for On-Demand Delivery With Multi-Agent Reinforcement Learning	4
Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach	4
A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data	4
DIGDUG: Scalable Separable Dense Graph Pruning and Join Operations in MapReduce	4
BiG-Fed: Bilevel Optimization Enhanced Graph-Aided Federated Learning	4
Denoising Implicit Feedback for Graph Collaborative Filtering via Causal Intervention	4
Cost-Efficient Heterogeneous Worker Recruitment under Coverage Requirement in Spatial Crowdsourcing	4
Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking	4
MarS-FL: Enabling Competitors to Collaborate in Federated Learning	4
LBFL: A Lightweight Blockchain-based Federated Learning Framework with Proof-of-Contribution Committee Consensus	4
AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association	4
Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy With Sparse Point Annotation	4
An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction	4
Visualization of Big Spatial Data Using Coresets for Kernel Density Estimates	4
NPP: A New Privacy-Aware Public Auditing Scheme for Cloud Data Sharing with Group Users	4
Deep Residual Coupled Prompt Learning for Zero-Shot Sketch-Based Image Retrieval	4
Physical Black-Box Adversarial Attacks Through Transformations	4
Accelerating Vertical Federated Learning	4
Dual Graph Convolutional Networks for Social Network Alignment	4
Deep Umbra: A Generative Approach for Sunlight Access Computation in Urban Spaces	4
Bi-Directional Feature Fixation-Based Particle Swarm Optimization for Large-Scale Feature Selection	3
Moving Conditional GAN Close to Data: Synthetic Tabular Data Generation and its Experimental Evaluation	3
Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction	3
Combine the Growth of Cascades and Impact of Users for Diffusion Prediction	3
Model-Agnostic Method: Exposing Deepfake Using Pixel-Wise Spatial and Temporal Fingerprints	3
A Black-Box Adversarial Attack Method via Nesterov Accelerated Gradient and Rewiring Towards Attacking Graph Neural Networks	3