ACM Transactions on Knowledge Discovery From Data

Article	Citations
Toward Quality of Information Aware Distributed Machine Learning	417
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation	313
Parameter-Agnostic Deep Graph Clustering	180
HITS-based Propagation Paradigm for Graph Neural Networks	117
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series	109
Random Walk Sampling in Social Networks Involving Private Nodes	97
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding	85
Privacy-Preserving Representation Learning with Gradient Obfuscation against Attribute Inference for Recommendation	77
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs	63
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation	54
Causal Discovery via Causal Star Graphs	50
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection	50
Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction	49
Put Your Voice on Stage: Personalized Headline Generation for News Articles	45
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning	42
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization	41
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks	41
Same or Different? Diff-Vectors for Authorship Analysis	40
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining	40
Detecting Anomalous Graphs in Labeled Multi-Graph Databases	38
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder	37
StructCoder: Structure-Aware Transformer for Code Generation	37
Relative Entropy-based Regularized Non-negative Matrix Factorization for Attributed Graph Clustering	35
A Compact Vulnerability Knowledge Graph for Risk Assessment	33
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey	32

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series	32
Graph Domain Adaptation: A Generative View	32
Utility-Oriented Reranking with Counterfactual Context	30
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention	30
Tri-perspective Multi-view Classification	30
Consistency and Invariance Guided Multi-View Hypergraph Learning for Robust Hyperedge Prediction	30
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search	29
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness	29
Uncovering the Local Hidden Community Structure in Social Networks	29
Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation	28
Federated Multi-source Domain Adaptation via Contrastive Cross-domain Semantic Alignment with Adversarial Feature Augmentation	27
Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks	27
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation	26
Causal Discovery Using Weight-Based Conditional Independence Test	26
Generative Multi-Label Correlation Learning	26
A Novel Classification Technique based on Formal Methods	25
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection	25
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling	25
diGRASS: Di rected Gra ph S pectral S parsification via Spectrum-Preserving	24
Retrieval-Augmented Generation for Multi-Hop Question Answering Based on Structured Planning	24
Road Network Representation Learning: A Dual Graph-based Approach	24
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs	23
A Survey on Signed Network Reconstruction Modeling and Its Applications	23
HW-Forest: Deep Forest with Hashing Screening and Window Screening	23
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion	23
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation	22
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation	21
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction	21
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach	21
A Propagation Model of Derived Topic Based on Cognitive Accumulation and Transfer Learning	21
Means of Hitting Times for Random Walks on Graphs: Connections, Computation, and Optimization	20
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG	20
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph	20
Competitive-Cooperative Multi-Task Optimization Algorithm with Historical Success Archive	20
Representation Learning Based on Ordinary Differential Equations for Dynamic Networks	20
Feature Selection as Deep Sequential Generative Learning	19
A Weighted Ensemble Classification Algorithm Based on Nearest Neighbors for Multi-Label Data Stream	19
A Compression-Based Approach to Detecting Automated and Coordinated Behavior on Social Media	19
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network	19
The Distance Function Optimization for the Near Neighbors-Based Classifiers	19
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning	19
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning	19
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks	19
Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting	19
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data	18
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey	18
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias	17
CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System	17
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions	17
Graph Out-of-Distribution Generalization Based on Structural-Entropy-Guided Information Bottleneck	17

Privacy-Preserving Machine Learning Based on Cryptography: A Survey	17
Balancing Fairness and Accuracy in Data-Restricted Binary Classification	17
Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection	16
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths	16
Online Learning for Noisy Labeled Streams	16
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation	16
Learning Hierarchical Task Structures for Few-shot Graph Classification	16
Label-Specific Feature Learning for Multi-Label Classification: A Survey	15
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization	15
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data	15
Designated Masking Propagation Learning for Self-Supervised Heterogeneous Graph Representation	15
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data	15
FGTL: Federated Graph Transfer Learning for Node Classification	15
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology	15
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models	15
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions	15
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast	14
Flareon: Stealthy All2all Backdoor Injection via Poisoned Augmentation	14
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning	14
On Dynamically Pricing Crowdsourcing Tasks	14
Intent-aware Recommendation Based on Principal Component Analysis	14
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models	14
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor	14
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation	14
SR-HyperFM: Sample Relationship Aware Hypergraph Factorization Machines for Feature Interaction Modeling	14
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding	14
Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems	14
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks	13
SigGAN: Adversarial Model for Learning Signed Relationships in Networks	13
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey	13
Dual-View Anomaly Detection in Heterogeneous Information Networks with Hierarchical Neighborhood Fusion	13
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach	13
BapFL: You can Backdoor Personalized Federated Learning	13
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data	13
Erratum: A Dual Perspective Framework of Knowledge-correlation for Cross-domain Recommendation	13
Local and Global Exploration for Next New POI Recommendation	13
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos	13
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization	13
A Multilayered Approach to Constructing a Patent Field of Technology Ontology	13
Corrigendum: Diffusion Models for Tabular Data Imputation and Synthetic Data Generation	13
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios	12
Discovering Interesting Patterns from Hypergraphs	12
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization	12
Triadic Closure Sensitive Influence Maximization	12
Towards Fair Decision Boundaries in Clustering: Integrating Disparate Impact Criteria into Maximum Margin Clustering	12
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search	12
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships	12
Accurate Open-Set Recognition for Memory Workload	12
CORE: Data Augmentation for Link Prediction via Information Bottleneck	12
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors	11
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model	11
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition	11
Multi-Label Quantification	11
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks	11
A Survey on AutoML Methods and Systems for Clustering	11
Causal Disentanglement for Implicit Recommendations with Network Information	11
An Information Theory Based Method for Quantifying the Predictability of Human Mobility	11
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination	11
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD	11
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection	11
Directed Acyclic Graphs Structure Learning with the Absorbing Markov Chain	11
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting	11
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment	11
On Equivalence of Anomaly Detection Algorithms	11
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation	11
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection	10
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification	10
Graph Deep Factors for Probabilistic Time-series Forecasting	10
Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone	10
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training	10
Adaptive Modality Interaction Transformer for Multimodal Knowledge Graph Completion	10
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification	10
Stochastic Block Models for Complex Network Analysis: A Survey	10
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning	10
A Traffic Data Imputation Method Based on Spatial-temporal Synchronous Graph Recovery Neural Network	10
Distributional Learning for Network Alignment with Global Constraints	10
Review of Clustering Methods for Functional Data	10
Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision	10
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network	10
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification	10

A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators	9
Enhancing Product Search with Query-Aware Multi-Facet Explanations through Hierarchical Graph Convolution	9
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network	9
Multidimensional Self-Paced Ensemble for Imbalanced Data Streams with Concept Drift	9
Crowdsourcing Truth Inference Based on Label Confidence Clustering	9
An Adaptive Model Aggregation Framework for Enhanced Swarm Learning	9
TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning	9
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding	9
A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction	9
Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge Graph	9
Data Augmentation with Large Language Models: A Scaling Law-Guided Approach	9
Modeling Regime Shifts in Multiple Time Series	9
Exploring Direction Alignment and Discrepancy Standardization for Knowledge Distillation	9
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks	9
Communities in Streaming Graphs: Small Space Data Structure, Benchmark Data Generation, and Linear Algorithm	9
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective	9
Raker: A Relation-Aware Knowledge Reasoning Model for Inductive Relation Prediction	9
LPS-GNN: Deploying Graph Neural Networks on Graphs with 100-Billion Edges	9
Label Distribution Guided Hashing for Cross-Modal Retrieval	9
Toward Few-Label Vertical Federated Learning	9
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering	9
PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records	8
Maximizing the Diversity of Exposure in Online Social Networks by Identifying Users with Increased Susceptibility to Persuasion	8
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation	8
Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery	8
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective	8
Be Causal: De-Biasing Social Network Confounding in Recommendation	8
Learning with Asynchronous Labels	8
Optimal Scale-Free Small-World Graphs with Minimum Scaling of Cover Time	8
Stable Subsampling under Model Misspecification and Covariate Shift	8
Adapting Knowledge Inference Algorithms to Measure Geometry Competencies through a Puzzle Game	8
Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space	8
Topology-aware Reinforcement Feature Space Reconstruction for Graph Data	8
Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting	8
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese	8
Accuracy, Fairness, Diversity All at Once: An Influence-Function-Guided Data Enhancement Approach for Recommender System	8
Local and Global Contrastive Network for Unsupervised Graph Anomaly Detection	8
Robust Distributed Estimation for Modal Regression under Least Squares Approximation	7
A Survey of Deep Graph Learning under Distribution Shifts: From Graph Out-of-Distribution Generalization to Adaptation	7
LSPEL: Label-Specific Feature-Based Partial Label Learning for Emerging New Labels	7
nSimplex Zen : A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces	7
Hierarchical Dense Pattern Detection in Tensors	7
Towards Prototype-Based Self-Explainable Graph Neural Network	7
EaSFE: Scalable and Efficient Feature Engineering for Boosting Machine Learning Performance	7
Enhancing Low-Resource Joint Entity and Relation Extraction Using Large Language Models within Semi-Supervised Learning	7
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information	7
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains	7
Do We Really Need Imputation in AutoML Predictive Modeling?	7
Together Is Better: Knowledge-aware Model with Resume Fusion for Online Job Recommendation	7
A Rumor Propagation Model Based on User Cognition and Evolutionary Game	7
Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach	7
Generalized Euclidean Measure to Estimate Distances on Multilayer Networks	7
GFformer: A Graph Transformer for Extracting All Frequency Information from Large-scale Graphs	7
PREFER: A Pre-trained Model Recommendation Framework for Edge Computing Enabled Traffic Flow Prediction	7
An Interpretable Deep Learning-based Model for Decision-making through Piecewise Linear Approximation	7
Totally-ordered Sequential Rules for Utility Maximization	7
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting	7
MoEPlan: A Lazy Learned Query-Selection Optimizer via Mixture of Optimizer Experts	7
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies	7
FastHGNN: A New Sampling Technique for Learning with Hypergraph Neural Networks	7
Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm	7
A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection	7
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation	6
SE-GCL: A Semantic-Enhanced Graph Contrastive Learning Framework for Road Network Embedding	6
Hyperspherical Representation Learning of Axial Data via Axial VAEs with Watson Distribution	6
Convolutional Network Integrated with Frequency Adaptive Learning for Multivariate Time Series Classification	6
Website Owner Identification through Multi-level Contrastive Representation Learning	6
Conditional Independence Test Based on Residual Similarity	6
Dual Homogeneity Hypergraph Motifs with Cross-view Contrastive Learning for Multiple Social Recommendations	6
Knowledge-Variational Contrastive Learning for Recommendation	6
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning	6
Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs	6
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location	6
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks	6
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning	6
Computing Random Forest-distances in the presence of missing data	6
Notice of Removal March 3, 2026: Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization	6
Dynamic Dependency-Aware Collaborative Contrastive Learning for Multi-Behavior Recommendation	6
Temporal Structural Preserving with Subtree Attention in Dynamic Graph Transformers	6
A Semantics-enhanced Topic Modelling Technique: Semantic-LDA	6
Time Series Classification with Elasticity Using Augmented Path Signatures	6
DEL4CW: Deep Expansion Learning for Cloud Workloads Prediction	6
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering	6
Swarm Self-supervised Hypergraph Embedding for Recommendation	6
Graph Time-series Modeling in Deep Learning: A Survey	6
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment	6
NNC-GCN: Neighbours-to-Neighbours Contrastive Graph Convolutional Network for Semi-Supervised Classification	6
Efficient GNN Explanation via Learning Removal-based Attribution	6
Profiling Minimal Data Dependency Combinations	5
L2MM: Learning to Map Matching with Deep Models for Low-Quality GPS Trajectory Data	5
Dual-View Learning from Crowds	5
Asymmetric Learning for Graph Neural Network based Link Prediction	5
Graph-based Prompt Learning with Mixture of Experts for Multi-task Corporate Profiling	5
A Meta-Learning Approach to Mitigating the Estimation Bias of Q-Learning	5
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning	5