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 2022-05-01 to 2026-05-01.)

Article	Citations
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	1845
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	935
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning	858
Recurrent Learning on PM^2.5 Prediction Based on Clustered Airbox Dataset	820
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	701
Learning Discriminative Text Representation for Streaming Social Event Detection	672
Latent Representation Guided Multi-View Clustering	623
Model-Free Subsampling Method Based on Uniform Designs	598
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	587
Data-Aware Adaptive Compression for Stream Processing	569
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	435
Generating kk-Hop-Constrained ss-tt Path Graphs	411
Beyond Predefined Clusters: A Comprehensive Review of Clustering Methods for Unknown Cluster Numbers	358
Graph Contrastive Learning With Personalized Augmentation	339
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	314
Minimum $k$k-Vertex Connected Graph Search	313
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	306
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation	294
Breaking Information Granularity Heterogeneity: A Mutual Information-Inspired Causal Discovery Framework for Multi-Rate Time Series	286
Attribute Graph Neural Networks for Strict Cold Start Recommendation	276
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	275
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	268
Simplified Graph Contrastive Learning Model Without Augmentation	265
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	250
The Expressive Power of Graph Neural Networks: A Survey	234

AIM: Automatic Interaction Machine for Click-Through Rate Prediction	219
Dimensionality Reduction for Categorical Data	210
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	200
Model Inversion Attacks Against Graph Neural Networks	195
Reinforced Imitative Graph Learning for Mobile User Profiling	191
Continuous Trajectory Similarity Search for Online Outlier Detection	189
Generalized Measure-Biased Sampling and Priority Sampling	187
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	186
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	178
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	171
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	169
M²: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	164
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	163
CryptIF: Toward Cloud-Based IoT Anomaly Detection Over Encrypted Feature Streams	160
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems	159
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	148
Scalable Identity-Oriented Speech Retrieval	147
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	146
Orthogonal Keys High Precision and Recall for Mining Database Keys From Inconsistent and Incomplete Relations	145
Exploiting SIMD-Ified Bit-Parallelism for High-Performance Complex Event Matching	145
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	144
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	140
Learning Idempotent Representation for Subspace Clustering	140
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	137
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	136
Temporal Network Motifs: Models, Limitations, Evaluation	132
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	128
Safety in Graph Machine Learning: Threats and Safeguards	128
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	125
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	125
Preventing Inferences Through Data Dependencies on Sensitive Data	125
Effortless Locality on Data Systems Using Relational Fabric	124
GPU-Accelerated Structural Diversity Search in Graphs	120
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	115
Spatial-Temporal Multimodal Large Language Model for Generative Recommendation in Alipay	111
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information	111
Large Language Models are In-Context Molecule Learners	110
Robust Tensor Completion With Side Information	108
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	107
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	106
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	104
Amalur: The Convergence of Data Integration and Machine Learning	104
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	104
Multi-view Fuzzy Representation Learning with Rules based Model	104
KnobCF: Uncertainty-Aware Knob Tuning	100
WizardEvent: Empowering Event Reasoning by Hybrid Event-Aware Data Synthesizing	98
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	97
Balanced and Unbalanced Triangle Count in Signed Networks	95
Provenance Graph Kernel	95
BLITZ: A Flexible and Efficient Graph Mining System	94

Serial-Parallel Fractional-Integer-Order Echo State Network for Time Series Prediction	94
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	93
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	93
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	92
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	90
Temporal Graph Multi-Aspect Embeddings	88
A Unified Perspective for Learning Graph Representations across Multi-Level Abstractions	87
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction	87
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection	86
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	86
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	86