ACM Transactions on Knowledge Discovery From Data

Article	Citations
A Compact Vulnerability Knowledge Graph for Risk Assessment	252
Random Walk Sampling in Social Networks Involving Private Nodes	164
Causal Discovery via Causal Star Graphs	142
Detecting Anomalous Graphs in Labeled Multi-Graph Databases	107
Graph Community Infomax	75
Recurrent Coupled Topic Modeling over Sequential Documents	59
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining	56
Put Your Voice on Stage: Personalized Headline Generation for News Articles	54
Same or Different? Diff-Vectors for Authorship Analysis	49
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder	47
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding	47
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series	40
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation	39
Toward Quality of Information Aware Distributed Machine Learning	38
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation	37
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection	36
Parameter-Agnostic Deep Graph Clustering	33
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs	31
Graph Neural Networks for Fast Node Ranking Approximation	31
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization	30
StructCoder: Structure-Aware Transformer for Code Generation	30
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks	28
HITS-based Propagation Paradigm for Graph Neural Networks	28
A Method for Mining Granger Causality Relationship on Atmospheric Visibility	27
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning	27

Graph Domain Adaptation: A Generative View	26
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey	26
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series	25
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation	24
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention	23
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness	23
Privacy-Preserving Mechanisms for Multi-Label Image Recognition	23
Toward Understanding and Evaluating Structural Node Embeddings	23
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction	22
Bayesian Additive Matrix Approximation for Social Recommendation	21
Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks	21
Causal Discovery Using Weight-Based Conditional Independence Test	21
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition	21
Measuring the Network Vulnerability Based on Markov Criticality	20
Uncovering the Local Hidden Community Structure in Social Networks	20
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model	20
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search	19
Utility-Oriented Reranking with Counterfactual Context	19
KRAN: Knowledge Refining Attention Network for Recommendation	19
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning	18
Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances	18
Road Network Representation Learning: A Dual Graph-based Approach	18
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach	18
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs	17
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation	17
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling	17
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation	17
Generative Multi-Label Correlation Learning	17
diGRASS: Di rected Gra ph S pectral S parsification via Spectrum-Preserving	16
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing	16
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion	16
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection	16
A Novel Classification Technique based on Formal Methods	16
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation	16
Deciphering Feature Effects on Decision-Making in Ordinal Regression Problems: An Explainable Ordinal Factorization Model	15
Anomaly Detection With Kernel Preserving Embedding	15
Feature Selection as Deep Sequential Generative Learning	15
The Distance Function Optimization for the Near Neighbors-Based Classifiers	15
HW-Forest: Deep Forest with Hashing Screening and Window Screening	15
Means of Hitting Times for Random Walks on Graphs: Connections, Computation, and Optimization	15
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning	15
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data	14
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network	14
A Weighted Ensemble Classification Algorithm Based on Nearest Neighbors for Multi-Label Data Stream	14
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning	14
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph	14
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction	14
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model	14
A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream	14
Graph Neural News Recommendation with User Existing and Potential Interest Modeling	14

Representation Learning Based on Ordinary Differential Equations for Dynamic Networks	14
Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting	13
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions	13
Privacy-Preserving Machine Learning Based on Cryptography: A Survey	13
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks	13
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG	13
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction	13
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks	13
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey	13
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias	13
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology	12
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data	12
Clustering Heterogeneous Information Network by Joint Graph Embedding and Nonnegative Matrix Factorization	12
CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System	12
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization	12
Exploring BCI Control in Smart Environments	12
Learning Hierarchical Task Structures for Few-shot Graph Classification	12
FGTL: Federated Graph Transfer Learning for Node Classification	12
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths	11
Online Tensor-Based Learning Model for Structural Damage Detection	11
DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation	11
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models	11
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation	11
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions	11
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast	11
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics	11
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation	11
Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems	10
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization	10
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models	10
CrowdTC: Crowd-powered Learning for Text Classification	10
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding	10
Link Recommendation for Social Influence Maximization	10
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey	10
BapFL: You can Backdoor Personalized Federated Learning	10
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach	9
On Dynamically Pricing Crowdsourcing Tasks	9
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning	9
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios	9
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos	9
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor	9
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data	9
Discovering Interesting Patterns from Hypergraphs	9
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting	9
SigGAN: Adversarial Model for Learning Signed Relationships in Networks	9
Intent-aware Recommendation Based on Principal Component Analysis	9
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks	9
Accurate Open-Set Recognition for Memory Workload	9
An Information Theory Based Method for Quantifying the Predictability of Human Mobility	9
Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks	8
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships	8
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model	8
Triadic Closure Sensitive Influence Maximization	8
On Equivalence of Anomaly Detection Algorithms	8
A Survey on AutoML Methods and Systems for Clustering	8
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors	8
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization	8
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search	8
Distributional Learning for Network Alignment with Global Constraints	8
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification	8
Causal Disentanglement for Implicit Recommendations with Network Information	8
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection	8
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment	8
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection	8
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation	8
Similarity Embedding Networks for Robust Human Activity Recognition	7
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification	7
Corpus-level and Concept-based Explanations for Interpretable Document Classification	7
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective	7
Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox-based Sampling	7
A Latent Variable Augmentation Method for Image Categorization with Insufficient Training Samples	7
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination	7
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition	7
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks	7
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network	7
Sequential Transform Learning	7
Crowdsourcing Truth Inference Based on Label Confidence Clustering	7
Communication from the Editor-in-Chief: State of the ACM Transactions on Knowledge Discovery from Data	7
Unsupervised Subspace Extraction via Deep Kernelized Clustering	7
Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge Graph	7

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training	7
Context-Aware Semantic Annotation of Mobility Records	7
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning	7
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification	7
Fast Connectivity Minimization on Large-Scale Networks	7
Modeling Regime Shifts in Multiple Time Series	7
Stochastic Block Models for Complex Network Analysis: A Survey	7
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network	7
Review of Clustering Methods for Functional Data	7
Graph Deep Factors for Probabilistic Time-series Forecasting	7
Multi-Label Quantification	7
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD	7