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 2021-12-01 to 2025-12-01.)
ArticleCitations
Toward Quality of Information Aware Distributed Machine Learning303
HITS-based Propagation Paradigm for Graph Neural Networks236
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs155
Detecting Anomalous Graphs in Labeled Multi-Graph Databases102
Causal Discovery via Causal Star Graphs91
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation77
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series66
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks64
Same or Different? Diff-Vectors for Authorship Analysis50
Random Walk Sampling in Social Networks Involving Private Nodes46
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding45
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning44
Privacy-Preserving Representation Learning with Gradient Obfuscation against Attribute Inference for Recommendation44
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining42
Put Your Voice on Stage: Personalized Headline Generation for News Articles41
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder36
A Compact Vulnerability Knowledge Graph for Risk Assessment36
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey34
Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction34
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection31
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization30
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation29
StructCoder: Structure-Aware Transformer for Code Generation28
Graph Domain Adaptation: A Generative View27
Parameter-Agnostic Deep Graph Clustering27
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series26
Relative Entropy-based Regularized Non-negative Matrix Factorization for Attributed Graph Clustering26
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention26
Utility-Oriented Reranking with Counterfactual Context25
Causal Discovery Using Weight-Based Conditional Independence Test25
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction24
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search24
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness24
Uncovering the Local Hidden Community Structure in Social Networks24
Privacy-Preserving Mechanisms for Multi-Label Image Recognition23
Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks22
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation22
Tri-perspective Multi-view Classification21
Generative Multi-Label Correlation Learning21
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model21
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach21
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition21
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling20
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection20
A Novel Classification Technique based on Formal Methods20
HW-Forest: Deep Forest with Hashing Screening and Window Screening20
diGRASS: Di rected Gra ph S pectral S parsification via Spectrum-Preserving 20
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation20
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation20
Road Network Representation Learning: A Dual Graph-based Approach19
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion19
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs19
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey18
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning18
A Weighted Ensemble Classification Algorithm Based on Nearest Neighbors for Multi-Label Data Stream18
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction18
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation18
Representation Learning Based on Ordinary Differential Equations for Dynamic Networks18
A Propagation Model of Derived Topic Based on Cognitive Accumulation and Transfer Learning18
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data18
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph18
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias17
Privacy-Preserving Machine Learning Based on Cryptography: A Survey17
Graph Neural News Recommendation with User Existing and Potential Interest Modeling17
The Distance Function Optimization for the Near Neighbors-Based Classifiers16
Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting16
Competitive-Cooperative Multi-Task Optimization Algorithm with Historical Success Archive16
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions16
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks16
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning16
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network16
Means of Hitting Times for Random Walks on Graphs: Connections, Computation, and Optimization16
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model16
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG16
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation15
A Compression-Based Approach to Detecting Automated and Coordinated Behavior on Social Media15
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions15
Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection15
Feature Selection as Deep Sequential Generative Learning15
FGTL: Federated Graph Transfer Learning for Node Classification15
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics15
Online Learning for Noisy Labeled Streams15
Balancing Fairness and Accuracy in Data-Restricted Binary Classification15
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data14
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data14
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
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models14
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization13
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation13
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding13
Intent-aware Recommendation Based on Principal Component Analysis13
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast13
Graph Out-of-Distribution Generalization Based on Structural-Entropy-Guided Information Bottleneck13
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models13
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization13
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths13
On Dynamically Pricing Crowdsourcing Tasks12
SigGAN: Adversarial Model for Learning Signed Relationships in Networks12
Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems12
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos12
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey12
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor12
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach11
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks11
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data11
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors11
Towards Fair Decision Boundaries in Clustering: Integrating Disparate Impact Criteria into Maximum Margin Clustering11
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection11
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning11
BapFL: You can Backdoor Personalized Federated Learning11
Causal Disentanglement for Implicit Recommendations with Network Information11
An Information Theory Based Method for Quantifying the Predictability of Human Mobility11
Erratum: A Dual Perspective Framework of Knowledge-correlation for Cross-domain Recommendation11
Flareon: Stealthy all2all Backdoor Injection via Poisoned Augmentation11
SR-HyperFM: Sample Relationship Aware Hypergraph Factorization Machines for Feature Interaction Modeling11
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships11
Discovering Interesting Patterns from Hypergraphs11
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization11
A Survey on AutoML Methods and Systems for Clustering10
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting10
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search10
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition10
Corrigendum: Diffusion Models for Tabular Data Imputation and Synthetic Data Generation10
Accurate Open-Set Recognition for Memory Workload10
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios10
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model10
Dual-View Anomaly Detection in Heterogeneous Information Networks with Hierarchical Neighborhood Fusion10
Triadic Closure Sensitive Influence Maximization10
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment9
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification9
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation9
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination9
Distributional Learning for Network Alignment with Global Constraints9
Multi-Label Quantification9
On Equivalence of Anomaly Detection Algorithms9
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks9
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training9
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD9
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection9
Adaptive Modality Interaction Transformer for Multimodal Knowledge Graph Completion9
Modeling Regime Shifts in Multiple Time Series8
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding8
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators8
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering8
Topology-aware Reinforcement Feature Space Reconstruction for Graph Data8
Graph Deep Factors for Probabilistic Time-series Forecasting8
Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision8
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning8
Review of Clustering Methods for Functional Data8
Communities in Streaming Graphs: Small Space Data Structure, Benchmark Data Generation, and Linear Algorithm8
A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction8
TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning8
PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records8
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network8
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network8
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification8
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective8
Raker: A Relation-Aware Knowledge Reasoning Model for Inductive Relation Prediction8
Be Causal: De-Biasing Social Network Confounding in Recommendation8
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks8
Crowdsourcing Truth Inference Based on Label Confidence Clustering8
Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge Graph8
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification8
Stochastic Block Models for Complex Network Analysis: A Survey8
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