ACM Transactions on Knowledge Discovery From Data

Papers
(The TQCC of ACM Transactions on Knowledge Discovery From Data 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Toward Quality of Information Aware Distributed Machine Learning288
HITS-based Propagation Paradigm for Graph Neural Networks214
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs153
Detecting Anomalous Graphs in Labeled Multi-Graph Databases94
Graph Community Infomax88
Causal Discovery via Causal Star Graphs75
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series64
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation64
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks46
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization45
Same or Different? Diff-Vectors for Authorship Analysis44
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection43
Random Walk Sampling in Social Networks Involving Private Nodes41
Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction41
Privacy-Preserving Representation Learning with Gradient Obfuscation against Attribute Inference for Recommendation40
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series36
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation34
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding33
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining32
Put Your Voice on Stage: Personalized Headline Generation for News Articles31
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning27
Graph Domain Adaptation: A Generative View27
Relative Entropy-based Regularized Non-negative Matrix Factorization for Attributed Graph Clustering26
A Compact Vulnerability Knowledge Graph for Risk Assessment26
Parameter-Agnostic Deep Graph Clustering26
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder25
Causal Discovery Using Weight-Based Conditional Independence Test25
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey25
StructCoder: Structure-Aware Transformer for Code Generation25
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention24
Utility-Oriented Reranking with Counterfactual Context23
Privacy-Preserving Mechanisms for Multi-Label Image Recognition22
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model22
Uncovering the Local Hidden Community Structure in Social Networks22
Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks21
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction21
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness21
Toward Understanding and Evaluating Structural Node Embeddings21
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search21
Road Network Representation Learning: A Dual Graph-based Approach20
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation20
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach20
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation20
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition20
diGRASS: Di rected Gra ph S pectral S parsification via Spectrum-Preserving 19
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation19
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation19
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling19
Generative Multi-Label Correlation Learning19
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection19
A Novel Classification Technique based on Formal Methods19
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs18
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction18
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion18
A Propagation Model of Derived Topic Based on Cognitive Accumulation and Transfer Learning18
HW-Forest: Deep Forest with Hashing Screening and Window Screening18
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network18
Representation Learning Based on Ordinary Differential Equations for Dynamic Networks17
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data17
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey17
A Weighted Ensemble Classification Algorithm Based on Nearest Neighbors for Multi-Label Data Stream17
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG16
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph16
Means of Hitting Times for Random Walks on Graphs: Connections, Computation, and Optimization16
Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting16
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model16
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning16
Graph Neural News Recommendation with User Existing and Potential Interest Modeling15
Feature Selection as Deep Sequential Generative Learning15
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning15
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions15
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias15
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks15
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions15
Online Learning for Noisy Labeled Streams15
The Distance Function Optimization for the Near Neighbors-Based Classifiers15
Privacy-Preserving Machine Learning Based on Cryptography: A Survey15
Balancing Fairness and Accuracy in Data-Restricted Binary Classification15
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation14
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast14
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization14
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths14
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology14
CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System14
Learning Hierarchical Task Structures for Few-shot Graph Classification14
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data13
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics13
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models13
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models13
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data13
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation13
Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection13
Intent-aware Recommendation Based on Principal Component Analysis13
Graph Out-of-Distribution Generalization based on Structural Entropy guided Information Bottleneck13
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding13
FGTL: Federated Graph Transfer Learning for Node Classification13
SigGAN: Adversarial Model for Learning Signed Relationships in Networks13
Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems12
SR-HyperFM: Sample Relationship Aware Hypergraph Factorization Machines for Feature Interaction Modeling12
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data12
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization12
An Information Theory Based Method for Quantifying the Predictability of Human Mobility11
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos11
BapFL: You can Backdoor Personalized Federated Learning11
On Dynamically Pricing Crowdsourcing Tasks11
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach11
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor11
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks11
Causal Disentanglement for Implicit Recommendations with Network Information11
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey11
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning11
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors11
Accurate Open-Set Recognition for Memory Workload10
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model10
Triadic Closure Sensitive Influence Maximization10
Corrigendum: Diffusion Models for Tabular Data Imputation and Synthetic Data Generation10
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection10
A Survey on AutoML Methods and Systems for Clustering10
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search10
Towards Fair Decision Boundaries in Clustering: Integrating Disparate Impact Criteria into Maximum Margin Clustering10
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios10
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting10
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization10
Discovering Interesting Patterns from Hypergraphs10
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships10
Dual-View Anomaly Detection in Heterogeneous Information Networks with Hierarchical Neighborhood Fusion10
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD9
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks9
Distributional Learning for Network Alignment with Global Constraints9
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition9
Adaptive Modality Interaction Transformer for Multimodal Knowledge Graph Completion9
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification9
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection9
Review of Clustering Methods for Functional Data9
Multi-Label Quantification9
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment9
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training9
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation9
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination9
On Equivalence of Anomaly Detection Algorithms9
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification8
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning8
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network8
Graph Deep Factors for Probabilistic Time-series Forecasting8
Communities in Streaming Graphs: Small Space Data Structure, Benchmark Data Generation, and Linear Algorithm8
PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records8
Stochastic Block Models for Complex Network Analysis: A Survey8
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective8
Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge Graph8
Modeling Regime Shifts in Multiple Time Series8
Raker: A Relation-Aware Knowledge Reasoning Model for Inductive Relation Prediction8
Label Distribution Guided Hashing for Cross-Modal Retrieval8
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification8
Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision8
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network8
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding8
Crowdsourcing Truth Inference Based on Label Confidence Clustering8
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks8
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