OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Knowledge and Data Engineering is 76. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Dimensionality Reduction for Categorical Data	1146
A Similarity-based Framework for Classification Task	818
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	809
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	554
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	551
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	494
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	419
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	408
Modeling and Detecting Communities in Node Attributed Networks	373
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	372
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	361
Explicit Message-Passing Heterogeneous Graph Neural Network	309
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	282
Learning Idempotent Representation for Subspace Clustering	273
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	199
Generalized Measure-Biased Sampling and Priority Sampling	191
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	189
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	182
Scalable Identity-Oriented Speech Retrieval	182
Generating Characteristic Summaries for Entity Descriptions	176
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	173
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	166
Domain Adaptation on Graphs by Learning Aligned Graph Bases	165
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data	164
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	164

Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	155
Network Representation Lightening from Hashing to Quantization	155
Road-aware Indexing for Trajectory Range Queries	149
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	141
M²: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	136
Recurrent Learning on PM^2.5 Prediction Based on Clustered Airbox Dataset	135
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	133
Data-Aware Adaptive Compression for Stream Processing	129
Projective Ranking-based GNN Evasion Attacks	128
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	124
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	123
Generating kk-Hop-Constrained ss-tt Path Graphs	122
Continuous Trajectory Similarity Search for Online Outlier Detection	121
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	120
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	119
Attribute Graph Neural Networks for Strict Cold Start Recommendation	114
Model-Free Subsampling Method Based on Uniform Designs	113
Neural Text Segmentation and its Application to Sentiment Analysis	111
Streaming Graph Embeddings via Incremental Neighborhood Sketching	111
Encoding High-Cardinality String Categorical Variables	110
Learning Discriminative Text Representation for Streaming Social Event Detection	109
Reinforced Imitative Graph Learning for Mobile User Profiling	107
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	106
Model Inversion Attacks Against Graph Neural Networks	106
The Expressive Power of Graph Neural Networks: A Survey	105
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	105
Latent Representation Guided Multi-View Clustering	105
Graph Contrastive Learning With Personalized Augmentation	104
Temporal Network Motifs: Models, Limitations, Evaluation	103
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	101
Clustering With Outlier Removal	101
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	100
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	96
GPU-accelerated Structural Diversity Search in Graphs	95
CCGL: Contrastive Cascade Graph Learning	94
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data	92
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	91
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	90
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	89
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation	89
Efficient Radius-Bounded Community Search in Geo-Social Networks	88
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	86
Towards De-Anonymization of Google Play Search Rank Fraud	84
Subgraph Matching With Effective Matching Order and Indexing	83
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data	82
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	80
Balanced and Unbalanced Triangle Count in Signed Networks	80
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	78
Multi-view Fuzzy Representation Learning with Rules based Model	77
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	77

Network Controllability Perspectives on Graph Representation