IEEE Transactions on Knowledge and Data Engineering

Papers
(The TQCC of IEEE Transactions on Knowledge and Data Engineering is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-02-01 to 2024-02-01.)
ArticleCitations
A Survey on Multi-Task Learning508
Deep Learning on Graphs: A Survey498
A Survey on Deep Learning for Named Entity Recognition465
GMC: Graph-Based Multi-View Clustering381
Self-supervised Learning: Generative or Contrastive380
A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective357
Reliable Accuracy Estimates from k-Fold Cross Validation340
A Survey on Knowledge Graph-Based Recommender Systems256
Ultra-Scalable Spectral Clustering and Ensemble Clustering238
Deep Learning for Spatio-Temporal Data Mining: A Survey208
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning187
Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning182
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications180
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection177
A Survey of Utility-Oriented Pattern Mining175
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction173
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework166
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems164
Approximate Nearest Neighbor Search on High Dimensional Data — Experiments, Analyses, and Improvement139
Extended Isolation Forest137
Generalizing to Unseen Domains: A Survey on Domain Generalization128
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis124
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences124
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting123
Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing122
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning112
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories112
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey111
Graph K-means Based on Leader Identification, Dynamic Game, and Opinion Dynamics108
Feature Selection for Neural Networks Using Group Lasso Regularization107
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation99
On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification94
SentiDiff: Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis94
Adversarial Training Towards Robust Multimedia Recommender System90
A Survey on Deep Semi-Supervised Learning90
Modeling Relation Paths for Knowledge Graph Completion89
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification85
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification83
A Correlation Graph based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development83
A Hybrid E-Learning Recommendation Approach Based on Learners’ Influence Propagation83
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation82
Interpretable and Efficient Heterogeneous Graph Convolutional Network82
A General Survey on Attention Mechanisms in Deep Learning80
Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection79
GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification78
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation78
A Survey on Canonical Correlation Analysis77
Few-Shot Named Entity Recognition via Meta-Learning76
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection75
Label Enhancement for Label Distribution Learning73
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data70
A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News68
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks67
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation67
Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning67
Personalized Long- and Short-term Preference Learning for Next POI Recommendation65
Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation64
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark63
Multi-Scale Dynamic Convolutional Network for Knowledge Graph Embedding61
Graph Self-Supervised Learning: A Survey60
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity59
A Graph Neural Network Framework for Social Recommendations57
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure57
Clustering with Local Density Peaks-Based Minimum Spanning Tree57
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing57
Parallel Simulated Annealing with a Greedy Algorithm for Bayesian Network Structure Learning56
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks56
Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression55
Faster Domain Adaptation Networks55
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks54
Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems53
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals53
Citywide Bike Usage Prediction in a Bike-Sharing System53
SRA: Secure Reverse Auction for Task Assignment in Spatial Crowdsourcing52
A Variational Bayesian Framework for Cluster Analysis in a Complex Network51
Social-Enhanced Attentive Group Recommendation51
Fast Discrete Collaborative Multi-Modal Hashing for Large-Scale Multimedia Retrieval51
Unified One-Step Multi-View Spectral Clustering50
CED: Credible Early Detection of Social Media Rumors50
A Hierarchical Attention Model for Social Contextual Image Recommendation50
Evolutionary Markov Dynamics for Network Community Detection50
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System50
Generalized Translation-Based Embedding of Knowledge Graph49
Learning Graph Representation With Generative Adversarial Nets49
A Complex Weighted Discounting Multisource Information Fusion With Its Application in Pattern Classification49
Joint Deep Multi-View Learning for Image Clustering49
Multi-View Support Vector Machines with the Consensus and Complementarity Information49
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation48
Consensus One-Step Multi-View Subspace Clustering47
Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data47
Efficient Utilization of Missing Data in Cost-Sensitive Learning47
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation47
Scalable Spectral Clustering for Overlapping Community Detection in Large-Scale Networks46
Database Meets Artificial Intelligence: A Survey46
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges45
Spatio-Temporal Meta Learning for Urban Traffic Prediction45
NeuLFT: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors45
Dynamic Connection-Based Social Group Recommendation44
Destination-Aware Task Assignment in Spatial Crowdsourcing: A Worker Decomposition Approach44
Multi-view Attributed Graph Clustering44
Multi-View Scaling Support Vector Machines for Classification and Feature Selection44
Towards Automatic Construction of Diverse, High-Quality Image Datasets43
Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning43
The Disruptions of 5G on Data-Driven Technologies and Applications42
Entropy-based Sampling Approaches for Multi-Class Imbalanced Problems42
On Both Cold-Start and Long-Tail Recommendation with Social Data41
An Integrated Multi-Task Model for Fake News Detection41
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress41
Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering41
Gaussian Distribution Based Oversampling for Imbalanced Data Classification41
Challenges in KNN Classification40
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network40
Optimal Margin Distribution Machine39
A Domain Adaptive Density Clustering Algorithm for Data With Varying Density Distribution39
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks39
Deep Inductive Graph Representation Learning39
Cross-Database Micro-Expression Recognition: A Benchmark39
Predicting Destinations by a Deep Learning based Approach38
Model-Based Synthetic Sampling for Imbalanced Data38
Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing38
GATrust: A Multi-Aspect Graph Attention Network Model for Trust Assessment in OSNs37
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence37
Label Distribution Learning with Label Correlations on Local Samples37
Dynamic Graph Neural Networks for Sequential Recommendation37
Modelling High-Order Social Relations for Item Recommendation36
Subgraph Networks With Application to Structural Feature Space Expansion36
Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning36
Graph Neural Network for Fraud Detection via Spatial-Temporal Attention35
Understanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization35
A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation35
Role-Based Graph Embeddings35
Encoding High-Cardinality String Categorical Variables35
A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification34
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics34
Fast Multi-View Semi-Supervised Learning With Learned Graph34
CAPER: Context-Aware Personalized Emoji Recommendation33
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks33
Learning to Recommend With Multiple Cascading Behaviors33
Variable Weighting in Fuzzy k-Means Clustering to Determine the Number of Clusters33
Deep Feature-Based Text Clustering and its Explanation33
Multi-Modal Knowledge Graph Construction and Application: A Survey33
Clustering With Outlier Removal33
The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks32
Multiview Semi-Supervised Learning Model for Image Classification32
Privacy Preserving Location Data Publishing: A Machine Learning Approach32
MAB-Based Reinforced Worker Selection Framework for Budgeted Spatial Crowdsensing31
Cross-Domain Sentiment Encoding through Stochastic Word Embedding31
Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework31
Social Boosted Recommendation With Folded Bipartite Network Embedding31
GM-PLL: Graph Matching Based Partial Label Learning31
Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding31
A New Linguistic Petri Net for Complex Knowledge Representation and Reasoning31
A Survey on Data Pricing: From Economics to Data Science31
NewMCOS: Towards a Practical Multi-Cloud Oblivious Storage Scheme30
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions30
On Distributed Computing Continuum Systems30
An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation30
Context-Aware Service Recommendation Based on Knowledge Graph Embedding30
Joint Multi-View Hashing for Large-Scale Near-Duplicate Video Retrieval29
Incremental Factorization of Big Time Series Data with Blind Factor Approximation29
Personalized Video Recommendation Using Rich Contents from Videos29
Stable Community Detection in Signed Social Networks29
A Reliable Storage Partition for Permissioned Blockchain29
Knowledge Graph Embedding Based on Multi-View Clustering Framework28
Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning28
Domain Adaptation on Graphs by Learning Aligned Graph Bases28
Dynamic Prototype Network based on Sample Adaptation for Few-Shot Malware Detection28
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive28
Multi-Party High-Dimensional Data Publishing Under Differential Privacy28
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation27
Security and Privacy Implications on Database Systems in Big Data Era: A Survey27
Adversarial Attack and Defense on Graph Data: A Survey27
Sparse Graph Attention Networks27
Network Embedding With Completely-Imbalanced Labels27
Enriching Data Imputation under Similarity Rule Constraints27
Translation-Based Sequential Recommendation for Complex Users on Sparse Data26
Social Recommendation With Learning Personal and Social Latent Factors26
Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation26
Applications of Differential Privacy in Social Network Analysis: A Survey26
An Embedding-Based Approach to Rule Learning in Knowledge Graphs26
A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation26
Achieving Privacy-Preserving and Lightweight Truth Discovery in Mobile Crowdsensing25
Fuzzy K-Means Clustering With Discriminative Embedding25
Bloom Filter with Noisy Coding Framework for Multi-Set Membership Testing25
Adaptive Similarity Embedding for Unsupervised Multi-View Feature Selection25
Secure and Efficient Outsourced k-Means Clustering using Fully Homomorphic Encryption With Ciphertext Packing Technique24
Quality Control in Crowdsourcing Using Sequential Zero-Determinant Strategies24
Quality Inference Based Task Assignment in Mobile Crowdsensing24
Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-modal Retrieval24
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection24
A Transformation-Based Framework for KNN Set Similarity Search24
Graph Vulnerability and Robustness: A Survey24
ChronoGraph: Enabling Temporal Graph Traversals for Efficient Information Diffusion Analysis over Time24
MAS-Encryption and its Applications in Privacy-Preserving Classifiers24
Automatic Classification of Algorithm Citation Functions in Scientific Literature24
CVTM: A Content-Venue-Aware Topic Model for Group Event Recommendation23
DCT-GAN: Dilated Convolutional Transformer-Based GAN for Time Series Anomaly Detection23
Trust Relationship Prediction in Alibaba E-Commerce Platform23
Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction23
Attribute Graph Neural Networks for Strict Cold Start Recommendation23
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning23
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services23
Efficient Shapelet Discovery for Time Series Classification22
Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering22
A Unified Framework for Cross-Domain and Cross-System Recommendations22
Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach22
GERF: A Group Event Recommendation Framework Based on Learning-to-Rank22
BRIGHT—Drift-Aware Demand Predictions for Taxi Networks22
On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets22
Modality-Invariant Asymmetric Networks for Cross-Modal Hashing22
A Novel Outlier Detection Method for Multivariate Data22
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy22
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection22
Heterogeneous Latent Topic Discovery for Semantic Text Mining21
Point-of-Interest Recommendation With Global and Local Context21
Multi-Task Learning for Recommendation Over Heterogeneous Information Network21
Robust Detection of Link Communities With Summary Description in Social Networks21
Anomaly Detection in Quasi-Periodic Time Series Based on Automatic Data Segmentation and Attentional LSTM-CNN21
Semi-Supervised Learning with Auto-Weighting Feature and Adaptive Graph21
Tackling Overfitting in Boosting for Noisy Healthcare Data21
Heterogeneous Graph Propagation Network21
Biomedical Knowledge Graph Embedding with Capsule Network for Multi-label Drug-Drug Interaction Prediction21
Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept Space21
CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering21
Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity20
Discovering Relaxed Functional Dependencies Based on Multi-Attribute Dominance20
T-PCCE: Twitter Personality based Communicative Communities Extraction System for Big Data20
Steerable Self-Driving Data Visualization20
Joint Learning of Question Answering and Question Generation20
Optimal Neighborhood Multiple Kernel Clustering with Adaptive Local Kernels20
Intervening Coupling Diffusion of Competitive Information in Online Social Networks20
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction19
Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph19
Neural Text Segmentation and its Application to Sentiment Analysis19
Collective Decision for Open Set Recognition19
Dynamic Opinion Maximization in Social Networks19
Publicly Verifiable Databases With All Efficient Updating Operations19
Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective19
A Novel Trust Model Based Overlapping Community Detection Algorithm for Social Networks19
A General Centrality Framework-Based on Node Navigability18
Unsupervised Discriminative Projection for Feature Selection18
Enabling Ternary Hash Tree Based Integrity Verification for Secure Cloud Data Storage18
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks18
Learning to Weight for Text Classification18
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis18
Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach18
A Multi-Type Transferable Method for Missing Link Prediction in Heterogeneous Social Networks18
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering18
CSKG4APT: A Cybersecurity Knowledge Graph for Advanced Persistent Threat Organization Attribution18
Geo-Ellipse-Indistinguishability: Community-Aware Location Privacy Protection for Directional Distribution18
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