ACM Transactions on Knowledge Discovery From Data

Article	Citations
Random Walk Sampling in Social Networks Involving Private Nodes	189
Causal Discovery via Causal Star Graphs	151
Detecting Anomalous Graphs in Labeled Multi-Graph Databases	110
Graph Community Infomax	64
Recurrent Coupled Topic Modeling over Sequential Documents	58
Put Your Voice on Stage: Personalized Headline Generation for News Articles	52
Same or Different? Diff-Vectors for Authorship Analysis	51
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder	49
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series	40
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation	38
Toward Quality of Information Aware Distributed Machine Learning	38
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks	33
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs	33
Parameter-Agnostic Deep Graph Clustering	31
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation	30
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection	30
A Compact Vulnerability Knowledge Graph for Risk Assessment	28
Graph Domain Adaptation: A Generative View	27
StructCoder: Structure-Aware Transformer for Code Generation	27
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey	26
HITS-based Propagation Paradigm for Graph Neural Networks	26
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining	26
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning	26
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding	25
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization	23

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series	22
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation	21
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention	21
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness	21
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction	20
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition	20
Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks	20
Causal Discovery Using Weight-Based Conditional Independence Test	19
Bayesian Additive Matrix Approximation for Social Recommendation	18
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model	18
Measuring the Network Vulnerability Based on Markov Criticality	18
Uncovering the Local Hidden Community Structure in Social Networks	18
Privacy-Preserving Mechanisms for Multi-Label Image Recognition	17
KRAN: Knowledge Refining Attention Network for Recommendation	17
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search	17
Utility-Oriented Reranking with Counterfactual Context	17
Toward Understanding and Evaluating Structural Node Embeddings	16
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation	16
A Novel Classification Technique based on Formal Methods	16
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation	16
HW-Forest: Deep Forest with Hashing Screening and Window Screening	16
diGRASS: Di rected Gra ph S pectral S parsification via Spectrum-Preserving	16
Road Network Representation Learning: A Dual Graph-based Approach	16
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling	16
Generative Multi-Label Correlation Learning	16
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing	15
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning	15
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection	15
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation	15
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion	15
Deciphering Feature Effects on Decision-Making in Ordinal Regression Problems: An Explainable Ordinal Factorization Model	14
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs	14
The Distance Function Optimization for the Near Neighbors-Based Classifiers	14
Means of Hitting Times for Random Walks on Graphs: Connections, Computation, and Optimization	14
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach	14
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data	13
Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting	13
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph	13
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning	13
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction	13
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network	13
A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream	13
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model	13
Feature Selection as Deep Sequential Generative Learning	13
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks	12
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG	12
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias	12
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology	12
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey	12
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction	12

Privacy-Preserving Machine Learning Based on Cryptography: A Survey	12
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions	12
Graph Neural News Recommendation with User Existing and Potential Interest Modeling	12
CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System	12
Clustering Heterogeneous Information Network by Joint Graph Embedding and Nonnegative Matrix Factorization	12
Representation Learning Based on Ordinary Differential Equations for Dynamic Networks	12
A Weighted Ensemble Classification Algorithm Based on Nearest Neighbors for Multi-Label Data Stream	12
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning	12
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization	12
FGTL: Federated Graph Transfer Learning for Node Classification	11
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast	11
Learning Hierarchical Task Structures for Few-shot Graph Classification	11
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions	11
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data	11
DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation	11
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation	11
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation	11
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models	10
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models	10
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization	10
Online Learning for Noisy Labeled Streams	10
CrowdTC: Crowd-powered Learning for Text Classification	10
Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems	10
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths	10
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics	10
BapFL: You can Backdoor Personalized Federated Learning	10
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor	9
Accurate Open-Set Recognition for Memory Workload	9
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors	9
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning	9
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks	9
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey	9
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding	9
An Information Theory Based Method for Quantifying the Predictability of Human Mobility	9
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data	9
SigGAN: Adversarial Model for Learning Signed Relationships in Networks	9
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos	9
On Dynamically Pricing Crowdsourcing Tasks	9
Discovering Interesting Patterns from Hypergraphs	9
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model	9
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach	9
Intent-aware Recommendation Based on Principal Component Analysis	9
Triadic Closure Sensitive Influence Maximization	8
A Survey on AutoML Methods and Systems for Clustering	8
Causal Disentanglement for Implicit Recommendations with Network Information	8
Multi-Label Quantification	8
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD	8
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment	8
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search	8
Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks	8
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization	8
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification	8
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition	8
Distributional Learning for Network Alignment with Global Constraints	8
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting	8
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships	8
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection	8
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios	8
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks	8
Review of Clustering Methods for Functional Data	8
On Equivalence of Anomaly Detection Algorithms	8
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering	7
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network	7
A Latent Variable Augmentation Method for Image Categorization with Insufficient Training Samples	7
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training	7
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection	7
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification	7
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators	7
Crowdsourcing Truth Inference Based on Label Confidence Clustering	7
Stochastic Block Models for Complex Network Analysis: A Survey	7
Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision	7
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network	7
Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge Graph	7
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation	7
Corpus-level and Concept-based Explanations for Interpretable Document Classification	7
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification	7
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding	7
Modeling Regime Shifts in Multiple Time Series	7
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective	7
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning	7

Graph Deep Factors for Probabilistic Time-series Forecasting	7
Context-Aware Semantic Annotation of Mobility Records	7
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination	7
Unsupervised Subspace Extraction via Deep Kernelized Clustering	7
Communication from the Editor-in-Chief: State of the ACM Transactions on Knowledge Discovery from Data	7
Toward Few-Label Vertical Federated Learning	6
Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach	6
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation	6
Towards Prototype-Based Self-Explainable Graph Neural Network	6
Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting	6
Maximizing the Diversity of Exposure in Online Social Networks by Identifying Users with Increased Susceptibility to Persuasion	6
Be Causal: De-Biasing Social Network Confounding in Recommendation	6
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks	6
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese	6
Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery	6
Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space	6
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting	6
Learning with Asynchronous Labels	6
TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning	6
Optimal Scale-Free Small-World Graphs with Minimum Scaling of Cover Time	6
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining	6
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective	6
Adapting Knowledge Inference Algorithms to Measure Geometry Competencies through a Puzzle Game	6
An Interpretable Deep Learning-based Model for Decision-making through Piecewise Linear Approximation	6
Label Distribution Guided Hashing for Cross-Modal Retrieval	6
A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction	6
Communities in Streaming Graphs: Small Space Data Structure, Benchmark Data Generation, and Linear Algorithm	6
Do We Really Need Imputation in AutoML Predictive Modeling?	5
Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm	5
A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection	5
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization	5
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment	5
FastHGNN: A New Sampling Technique for Learning with Hypergraph Neural Networks	5
Together Is Better: Knowledge-aware Model with Resume Fusion for Online Job Recommendation	5
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention	5
On-Shelf Utility Mining of Sequence Data	5
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach	5
Wealth Flow Model: Online Portfolio Selection Based on Learning Wealth Flow Matrices	5
A Semantics-enhanced Topic Modelling Technique: Semantic-LDA	5
Generalized Euclidean Measure to Estimate Distances on Multilayer Networks	5
Totally-ordered Sequential Rules for Utility Maximization	5
Hierarchical Dense Pattern Detection in Tensors	5
Conditional Independence Test Based on Residual Similarity	5
PREFER: A Pre-trained Model Recommendation Framework for Edge Computing Enabled Traffic Flow Prediction	5
sGrapp: Butterfly Approximation in Streaming Graphs	5
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification	5
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies	5
nSimplex Zen : A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces	5
NNC-GCN: Neighbours-to-Neighbours Contrastive Graph Convolutional Network for Semi-Supervised Classification	4
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks	4
Adaptive Model Scheduling for Resource-efficient Data Labeling	4
Swarm Self-supervised Hypergraph Embedding for Recommendation	4
An Efficient Aggregation Method for the Symbolic Representation of Temporal Data	4
High-Value Token-Blocking: Efficient Blocking Method for Record Linkage	4
Mixed Information Flow for Cross-Domain Sequential Recommendations	4
Assessing Large-Scale Power Relations among Locations from Mobility Data	4
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location	4
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation	4
Computing Random Forest-distances in the presence of missing data	4
A Joint Passenger Flow Inference and Path Recommender System for Deploying New Routes and Stations of Mass Transit Transportation	4
Dual Homogeneity Hypergraph Motifs with Cross-view Contrastive Learning for Multiple Social Recommendations	4
BiLabel-Specific Features for Multi-Label Classification	4
Temporal Structural Preserving with Subtree Attention in Dynamic Graph Transformers	4
Time Series Classification with Elasticity Using Augmented Path Signatures	4
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer	4
VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-modal Information Retrieval	4
Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs	4
Local Overlapping Spatial-aware Community Detection	4
Community Detection in Partially Observable Social Networks	4
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond	4
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning	4
A Survey on Explainable Anomaly Detection	4
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains	4
Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model	4
Graph Time-series Modeling in Deep Learning: A Survey	4
Efficient GNN Explanation via Learning Removal-based Attribution	4
Social Group Query Based on Multi-Fuzzy-Constrained Strong Simulation	4
Embedding Heterogeneous Information Network in Hyperbolic Spaces	4
Three-stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero- and Few-shot Learning with Domain Distribution Alignment	4
A Hybrid Continuous-Time Dynamic Graph Representation Learning Model by Exploring Both Temporal and Repetitive Information	4
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering	4
Unsupervised Adversarial Network Alignment with Reinforcement Learning	4
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning	4
ABLE: Meta-Path Prediction in Heterogeneous Information Networks	4
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information	4
Triangle Centrality	3
Supervised Contrastive Learning for Interpretable Long-Form Document Matching	3
A Novel Neural Ensemble Architecture for On-the-fly Classification of Evolving Text Streams	3
ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets	3
Meta-Information Fusion of Hierarchical Semantics Dependency and Graph Structure for Structured Text Classification	3
Prerequisite-Enhanced Category-Aware Graph Neural Networks for Course Recommendation	3
A Comprehensive Understanding of the Impact of Data Augmentation on the Transferability of 3D Adversarial Examples	3
Multi-Concept Representation Learning for Knowledge Graph Completion	3
Graph Mining for Cybersecurity: A Survey	3
A Relation-Constraint Link Prediction Model for Dynamic Knowledge Graphs with Entity Drift	3