ACM Transactions on Knowledge Discovery From Data

Article	Citations
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation	435
Parameter-Agnostic Deep Graph Clustering	346
Random Walk Sampling in Social Networks Involving Private Nodes	191
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding	124
Privacy-Preserving Representation Learning with Gradient Obfuscation against Attribute Inference for Recommendation	97
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs	92
Causal Discovery via Causal Star Graphs	90
Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction	69
Put Your Voice on Stage: Personalized Headline Generation for News Articles	60
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning	59
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks	57
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining	53
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series	49
Detecting Anomalous Graphs in Labeled Multi-Graph Databases	47
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey	43
Relative Entropy-based Regularized Non-negative Matrix Factorization for Attributed Graph Clustering	43
Graph Domain Adaptation: A Generative View	40
Blind Watermarking for Tabular Datasets in Machine Learning: A Primary Key-Free Method	39
HITS-based Propagation Paradigm for Graph Neural Networks	38
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection	38
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization	37
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder	37
Personalized Data-Free Knowledge Distillation for Federated Learning under Heterogeneous Models and Data	37
A Compact Vulnerability Knowledge Graph for Risk Assessment	35
Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning	34

StructCoder: Structure-Aware Transformer for Code Generation	34
Same or Different? Diff-Vectors for Authorship Analysis	32
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention	32
Consistency and Invariance Guided Multi-View Hypergraph Learning for Robust Hyperedge Prediction	31
Tri-perspective Multi-view Classification	30
Federated Multi-source Domain Adaptation via Contrastive Cross-domain Semantic Alignment with Adversarial Feature Augmentation	30
Uncovering the Local Hidden Community Structure in Social Networks	30
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness	30
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation	28
Causal Discovery Using Weight-Based Conditional Independence Test	28
Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation	28
Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks	27
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search	26
Utility-Oriented Reranking with Counterfactual Context	26
TRIP: a Bi-level Travel Routing Intelligent Planner Informed from Human Planning Behaviors	26
Road Network Representation Learning: A Dual Graph-based Approach	25
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs	25
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach	25
A Novel Classification Technique based on Formal Methods	24
diGRASS: Di rected Gra ph S pectral S parsification via Spectrum-Preserving	24
Generative Multi-Label Correlation Learning	24
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling	24
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection	23
Retrieval-Augmented Generation for Multi-Hop Question Answering Based on Structured Planning	23
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation	23
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion	23
A Survey on Signed Network Reconstruction Modeling and Its Applications	23
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation	22
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction	22
A Propagation Model of Derived Topic Based on Cognitive Accumulation and Transfer Learning	22
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph	20
Representation Learning Based on Ordinary Differential Equations for Dynamic Networks	20
A Compression-Based Approach to Detecting Automated and Coordinated Behavior on Social Media	20
A Weighted Ensemble Classification Algorithm Based on Nearest Neighbors for Multi-Label Data Stream	20
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks	20
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey	20
Competitive-Cooperative Multi-Task Optimization Algorithm with Historical Success Archive	20
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data	20
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias	20
Feature Selection as Deep Sequential Generative Learning	19
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning	19
Privacy-Preserving Machine Learning Based on Cryptography: A Survey	19
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG	19
Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting	19
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions	19
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network	19
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast	17
Learning Hierarchical Task Structures for Few-shot Graph Classification	17
Designated Masking Propagation Learning for Self-Supervised Heterogeneous Graph Representation	17
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning	17

Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation	17
Means of Hitting Times for Random Walks on Graphs: Connections, Computation, and Optimization	17
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization	17
Graph Out-of-Distribution Generalization Based on Structural-Entropy-Guided Information Bottleneck	17
CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System	17
Balancing Fairness and Accuracy in Data-Restricted Binary Classification	17
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data	16
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology	16
Online Learning for Noisy Labeled Streams	16
Label-Specific Feature Learning for Multi-Label Classification: A Survey	16
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data	16
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation	16
Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection	16
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions	16
FGTL: Federated Graph Transfer Learning for Node Classification	16
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models	16
Intent-aware Recommendation Based on Principal Component Analysis	15
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks	15
Local and Global Exploration for Next New POI Recommendation	15
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos	15
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning	15
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding	15
SR-HyperFM: Sample Relationship Aware Hypergraph Factorization Machines for Feature Interaction Modeling	15
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models	15
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor	15
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization	15
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths	15
Flareon: Stealthy All2all Backdoor Injection via Poisoned Augmentation	15
On Dynamically Pricing Crowdsourcing Tasks	15
Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems	15
SigGAN: Adversarial Model for Learning Signed Relationships in Networks	15
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey	14
BapFL: You can Backdoor Personalized Federated Learning	14
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data	14
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach	14
A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English	14
Erratum: A Dual Perspective Framework of Knowledge-correlation for Cross-domain Recommendation	14
A Multilayered Approach to Constructing a Patent Field of Technology Ontology	14
A Trust and User Preference Model for Marketing Information Dissemination	14
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships	13
Corrigendum: Diffusion Models for Tabular Data Imputation and Synthetic Data Generation	13
Towards Fair Decision Boundaries in Clustering: Integrating Disparate Impact Criteria into Maximum Margin Clustering	13
CORE: Data Augmentation for Link Prediction via Information Bottleneck	13
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios	13
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization	13
Directed Acyclic Graphs Structure Learning with the Absorbing Markov Chain	12
An Information Theory Based Method for Quantifying the Predictability of Human Mobility	12
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting	12
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection	12
Accurate Open-Set Recognition for Memory Workload	12
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model	12
Causal Disentanglement for Implicit Recommendations with Network Information	12
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors	12
A Survey on AutoML Methods and Systems for Clustering	12
Discovering Interesting Patterns from Hypergraphs	12
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation	11
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination	11
Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique Identifier	11
Enhancing Robustness of Constant Curvature Graph Convolutional Network with Lipschitz Regularization	11
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment	11
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training	11
A Traffic Data Imputation Method Based on Spatial-temporal Synchronous Graph Recovery Neural Network	11
Adaptive Modality Interaction Transformer for Multimodal Knowledge Graph Completion	11
Dual-View Anomaly Detection in Heterogeneous Information Networks with Hierarchical Neighborhood Fusion	11
On Equivalence of Anomaly Detection Algorithms	11
Distributional Learning for Network Alignment with Global Constraints	11
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification	11
Multi-Label Quantification	11
Triadic Closure Sensitive Influence Maximization	11
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search	11
Review of Clustering Methods for Functional Data	10
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification	10
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection	10
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning	10
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network	10
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks	10
Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge Graph	10
Graph Deep Factors for Probabilistic Time-series Forecasting	10
LPS-GNN: Deploying Graph Neural Networks on Graphs with 100-Billion Edges	10
Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision	10

Tabular Generative Model with Graph-Theoretical Methodologies toward Effective Financial Fraud Detection	10
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification	10
Stochastic Block Models for Complex Network Analysis: A Survey	10
Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone	10
Enhancing Product Search with Query-Aware Multi-Facet Explanations through Hierarchical Graph Convolution	10
Multidimensional Self-Paced Ensemble for Imbalanced Data Streams with Concept Drift	9
PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records	9
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering	9
Be Causal: De-Biasing Social Network Confounding in Recommendation	9
Crowdsourcing Truth Inference Based on Label Confidence Clustering	9
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network	9
Raker: A Relation-Aware Knowledge Reasoning Model for Inductive Relation Prediction	9
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks	9
An Adaptive Model Aggregation Framework for Enhanced Swarm Learning	9
TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning	9
Topology-aware Reinforcement Feature Space Reconstruction for Graph Data	9
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective	9
Data Augmentation with Large Language Models: A Scaling Law-Guided Approach	9
Communities in Streaming Graphs: Small Space Data Structure, Benchmark Data Generation, and Linear Algorithm	9
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding	9
Exploring Direction Alignment and Discrepancy Standardization for Knowledge Distillation	9
Automated Graph Machine Learning	9
EaSFE: Scalable and Efficient Feature Engineering for Boosting Machine Learning Performance	8
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective	8
Toward Few-Label Vertical Federated Learning	8
A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction	8
Maximizing the Diversity of Exposure in Online Social Networks by Identifying Users with Increased Susceptibility to Persuasion	8
Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting	8
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation	8
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese	8
Label Distribution Guided Hashing for Cross-Modal Retrieval	8
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators	8
Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach	8
Stable Subsampling under Model Misspecification and Covariate Shift	8
Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery	8
Adapting Knowledge Inference Algorithms to Measure Geometry Competencies through a Puzzle Game	8
Optimal Scale-Free Small-World Graphs with Minimum Scaling of Cover Time	8
Modeling Regime Shifts in Multiple Time Series	8
Learning with Asynchronous Labels	8
Accuracy, Fairness, Diversity All at Once: An Influence-Function-Guided Data Enhancement Approach for Recommender System	8
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting	7
A Rumor Propagation Model Based on User Cognition and Evolutionary Game	7
MSSTAN: A Multi-Scale Spatio-Temporal Attention Network for Traffic Forecasting	7
Dual Homogeneity Hypergraph Motifs with Cross-view Contrastive Learning for Multiple Social Recommendations	7
NNC-GCN: Neighbours-to-Neighbours Contrastive Graph Convolutional Network for Semi-Supervised Classification	7
PREFER: A Pre-trained Model Recommendation Framework for Edge Computing Enabled Traffic Flow Prediction	7
Totally-ordered Sequential Rules for Utility Maximization	7
FastHGNN: A New Sampling Technique for Learning with Hypergraph Neural Networks	7
MoEPlan: A Lazy Learned Query-Selection Optimizer via Mixture of Optimizer Experts	7
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies	7
Local and Global Contrastive Network for Unsupervised Graph Anomaly Detection	7
Do We Really Need Imputation in AutoML Predictive Modeling?	7
nSimplex Zen : A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces	7
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation	7
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment	7
Robust Distributed Estimation for Modal Regression under Least Squares Approximation	7
Temporal Structural Preserving with Subtree Attention in Dynamic Graph Transformers	7
Towards Prototype-Based Self-Explainable Graph Neural Network	7
An Interpretable Deep Learning-based Model for Decision-making through Piecewise Linear Approximation	7
Hierarchical Dense Pattern Detection in Tensors	7
Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space	7
Enhancing Low-Resource Joint Entity and Relation Extraction Using Large Language Models within Semi-Supervised Learning	7
A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection	7
Dynamic Dependency-Aware Collaborative Contrastive Learning for Multi-Behavior Recommendation	7
Knowledge-Variational Contrastive Learning for Recommendation	7
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains	7
Together Is Better: Knowledge-aware Model with Resume Fusion for Online Job Recommendation	7
LSPEL: Label-Specific Feature-Based Partial Label Learning for Emerging New Labels	7
A Survey of Deep Graph Learning under Distribution Shifts: From Graph Out-of-Distribution Generalization to Adaptation	7
Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm	7
GFformer: A Graph Transformer for Extracting All Frequency Information from Large-scale Graphs	6
Convolutional Network Integrated with Frequency Adaptive Learning for Multivariate Time Series Classification	6
A Survey on Explainable Anomaly Detection	6
VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-modal Information Retrieval	6
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders	6
Revisiting the Role of Heterophily in Graph Representation Learning: An Edge Classification Perspective	6
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location	6
Towards Sequence Utility Maximization under Utility Occupancy Measure	6
A Semantics-enhanced Topic Modelling Technique: Semantic-LDA	6
Notice of Removal March 3, 2026: Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization	6
Graph Time-series Modeling in Deep Learning: A Survey	6
Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs	6
Fairness of Information Flow in Social Networks	6
Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks	6
Local Overlapping Spatial-aware Community Detection	6
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering	6
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning	6
Efficient GNN Explanation via Learning Removal-based Attribution	6
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks	6
Hyperspherical Representation Learning of Axial Data via Axial VAEs with Watson Distribution	6
A Hybrid Continuous-Time Dynamic Graph Representation Learning Model by Exploring Both Temporal and Repetitive Information	6
Three-stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero- and Few-shot Learning with Domain Distribution Alignment	6
DEL4CW: Deep Expansion Learning for Cloud Workloads Prediction	6
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning	6
Conditional Independence Test Based on Residual Similarity	6