OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Knowledge and Data Engineering is 79. 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 2021-09-01 to 2025-09-01.)

Article	Citations
A Similarity-based Framework for Classification Task	1389
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	901
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	888
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	676
Modeling and Detecting Communities in Node Attributed Networks	649
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	565
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	493
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	474
Generating Characteristic Summaries for Entity Descriptions	460
Road-aware Indexing for Trajectory Range Queries	452
The Expressive Power of Graph Neural Networks: A Survey	452
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	442
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	376
Learning Discriminative Text Representation for Streaming Social Event Detection	247
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	235
Scalable Identity-Oriented Speech Retrieval	225
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	220
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	216
Latent Representation Guided Multi-View Clustering	208
Minimum $k$-Vertex Connected Graph Search	206
Reinforced Imitative Graph Learning for Mobile User Profiling	204
Network Representation Lightening from Hashing to Quantization	203
Simplified Graph Contrastive Learning Model Without Augmentation	199
Domain Adaptation on Graphs by Learning Aligned Graph Bases	197
Projective Ranking-based GNN Evasion Attacks	194

Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	188
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	187
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	177
Explicit Message-Passing Heterogeneous Graph Neural Network	164
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	163
Learning Idempotent Representation for Subspace Clustering	157
Graph Contrastive Learning With Personalized Augmentation	150
Recurrent Learning on PM^2.5 Prediction Based on Clustered Airbox Dataset	150
Dimensionality Reduction for Categorical Data	148
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	147
M²: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	147
Temporal Network Motifs: Models, Limitations, Evaluation	146
Data-Aware Adaptive Compression for Stream Processing	143
Generating kk-Hop-Constrained ss-tt Path Graphs	137
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	136
Attribute Graph Neural Networks for Strict Cold Start Recommendation	134
Streaming Graph Embeddings via Incremental Neighborhood Sketching	134
Generalized Measure-Biased Sampling and Priority Sampling	132
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	129
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	129
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	126
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	124
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	124
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	119
Continuous Trajectory Similarity Search for Online Outlier Detection	118
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation	118
Model Inversion Attacks Against Graph Neural Networks	117
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	113
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	113
Model-Free Subsampling Method Based on Uniform Designs	112
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	111
Neural Text Segmentation and its Application to Sentiment Analysis	107
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	107
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	106
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	104
Encoding High-Cardinality String Categorical Variables	104
Towards De-Anonymization of Google Play Search Rank Fraud	100
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	98
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	97
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	96
Large Language Models are In-Context Molecule Learners	95
Efficient Radius-Bounded Community Search in Geo-Social Networks	95
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	92
Network Controllability Perspectives on Graph Representation	91
Towards Rumor Detection With Multi-Granularity Evidences: A Dataset and Benchmark	90
Multi-view Fuzzy Representation Learning with Rules based Model	89
Domain-Adversarial Network Alignment	89
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	89
Similarity Transitivity Broken-Aware Multi-Modal Hashing	89
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	88

Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and L1 Norm	87
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	85
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	84
Hyperbolic Graph Contrastive Learning for Collaborative Filtering	82
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	79
Subgraph Matching With Effective Matching Order and Indexing	79