OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Knowledge and Data Engineering is 86. 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 2022-01-01 to 2026-01-01.)

Article	Citations
Generating Characteristic Summaries for Entity Descriptions	1608
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	990
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	970
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	812
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	758
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning	628
Streaming Graph Embeddings via Incremental Neighborhood Sketching	614
Recurrent Learning on PM^2.5 Prediction Based on Clustered Airbox Dataset	575
Road-aware Indexing for Trajectory Range Queries	570
Network Representation Lightening from Hashing to Quantization	556
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	534
Domain Adaptation on Graphs by Learning Aligned Graph Bases	502
Modeling and Detecting Communities in Node Attributed Networks	482
Dimensionality Reduction for Categorical Data	333
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	319
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	291
Model-Free Subsampling Method Based on Uniform Designs	278
A Similarity-based Framework for Classification Task	255
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	249
Continuous Trajectory Similarity Search for Online Outlier Detection	247
Scalable Identity-Oriented Speech Retrieval	247
Generating kk-Hop-Constrained ss-tt Path Graphs	243
Generalized Measure-Biased Sampling and Priority Sampling	241
Minimum $k$-Vertex Connected Graph Search	239
Reinforced Imitative Graph Learning for Mobile User Profiling	225

Outdoor Position Recovery From Heterogeneous Telco Cellular Data	223
Learning Discriminative Text Representation for Streaming Social Event Detection	213
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	209
Explicit Message-Passing Heterogeneous Graph Neural Network	207
M²: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	201
CryptIF: Toward Cloud-Based IoT Anomaly Detection Over Encrypted Feature Streams	198
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	185
Breaking Information Granularity Heterogeneity: A Mutual Information-Inspired Causal Discovery Framework for Multi-Rate Time Series	178
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems	176
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	170
Latent Representation Guided Multi-View Clustering	168
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	167
Exploiting SIMD-Ified Bit-Parallelism for High-Performance Complex Event Matching	165
Orthogonal Keys High Precision and Recall for Mining Database Keys From Inconsistent and Incomplete Relations	164
Model Inversion Attacks Against Graph Neural Networks	159
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	156
Temporal Network Motifs: Models, Limitations, Evaluation	153
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	146
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	144
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	141
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	140
Projective Ranking-based GNN Evasion Attacks	140
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	138
Data-Aware Adaptive Compression for Stream Processing	135
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	132
Learning Idempotent Representation for Subspace Clustering	126
Neural Text Segmentation and its Application to Sentiment Analysis	123
Simplified Graph Contrastive Learning Model Without Augmentation	123
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	123
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	120
The Expressive Power of Graph Neural Networks: A Survey	119
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	118
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	118
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	117
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	116
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	116
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	113
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	111
Encoding High-Cardinality String Categorical Variables	110
Graph Contrastive Learning With Personalized Augmentation	110
Attribute Graph Neural Networks for Strict Cold Start Recommendation	108
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	106
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation	106
Preventing Inferences Through Data Dependencies on Sensitive Data	105
Discovery of Cross Joins	103
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	103
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	102
Temporal Graph Multi-Aspect Embeddings	100
Effortless Locality on Data Systems Using Relational Fabric	98
GPU-Accelerated Structural Diversity Search in Graphs	98

Pattern-Wise Transparent Sequential Recommendation	93
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	91
Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and L1 Norm	91
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection	89
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	88
Multi-view Fuzzy Representation Learning with Rules based Model	88
Efficient Radius-Bounded Community Search in Geo-Social Networks	87
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	86
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	86
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	86
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	86