ACM Transactions on Knowledge Discovery From Data

Article	Citations
Toward Quality of Information Aware Distributed Machine Learning	288
HITS-based Propagation Paradigm for Graph Neural Networks	214
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs	153
Detecting Anomalous Graphs in Labeled Multi-Graph Databases	94
Graph Community Infomax	88
Causal Discovery via Causal Star Graphs	75
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation	64
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series	64
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks	46
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization	45
Same or Different? Diff-Vectors for Authorship Analysis	44
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection	43
Random Walk Sampling in Social Networks Involving Private Nodes	41
Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction	41
Privacy-Preserving Representation Learning with Gradient Obfuscation against Attribute Inference for Recommendation	40
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series	36
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation	34
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding	33
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining	32
Put Your Voice on Stage: Personalized Headline Generation for News Articles	31
Graph Domain Adaptation: A Generative View	27
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning	27
Parameter-Agnostic Deep Graph Clustering	26
Relative Entropy-based Regularized Non-negative Matrix Factorization for Attributed Graph Clustering	26
A Compact Vulnerability Knowledge Graph for Risk Assessment	26

StructCoder: Structure-Aware Transformer for Code Generation	25
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder	25
Causal Discovery Using Weight-Based Conditional Independence Test	25
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey	25
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention	24
Utility-Oriented Reranking with Counterfactual Context	23
Uncovering the Local Hidden Community Structure in Social Networks	22
Privacy-Preserving Mechanisms for Multi-Label Image Recognition	22
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model	22
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness	21
Toward Understanding and Evaluating Structural Node Embeddings	21
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search	21
Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks	21
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction	21
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation	20
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition	20
Road Network Representation Learning: A Dual Graph-based Approach	20
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation	20
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach	20
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection	19
A Novel Classification Technique based on Formal Methods	19
diGRASS: Di rected Gra ph S pectral S parsification via Spectrum-Preserving	19
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation	19
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation	19
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling	19
Generative Multi-Label Correlation Learning	19
HW-Forest: Deep Forest with Hashing Screening and Window Screening	18
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network	18
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs	18
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction	18
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion	18
A Propagation Model of Derived Topic Based on Cognitive Accumulation and Transfer Learning	18
A Weighted Ensemble Classification Algorithm Based on Nearest Neighbors for Multi-Label Data Stream	17
Representation Learning Based on Ordinary Differential Equations for Dynamic Networks	17
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data	17
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey	17
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model	16
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning	16
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG	16
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph	16
Means of Hitting Times for Random Walks on Graphs: Connections, Computation, and Optimization	16
Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting	16
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions	15
Online Learning for Noisy Labeled Streams	15
The Distance Function Optimization for the Near Neighbors-Based Classifiers	15
Privacy-Preserving Machine Learning Based on Cryptography: A Survey	15
Balancing Fairness and Accuracy in Data-Restricted Binary Classification	15
Graph Neural News Recommendation with User Existing and Potential Interest Modeling	15
Feature Selection as Deep Sequential Generative Learning	15
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning	15

DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions	15
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias	15
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks	15
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology	14
CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System	14
Learning Hierarchical Task Structures for Few-shot Graph Classification	14
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation	14
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast	14
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization	14
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths	14
Graph Out-of-Distribution Generalization based on Structural Entropy guided Information Bottleneck	13
FGTL: Federated Graph Transfer Learning for Node Classification	13
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding	13
SigGAN: Adversarial Model for Learning Signed Relationships in Networks	13
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data	13
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics	13
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models	13
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models	13
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data	13
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation	13
Intent-aware Recommendation Based on Principal Component Analysis	13
Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection	13
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data	12
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization	12
Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems	12
SR-HyperFM: Sample Relationship Aware Hypergraph Factorization Machines for Feature Interaction Modeling	12
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks	11
Causal Disentanglement for Implicit Recommendations with Network Information	11
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey	11
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning	11
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors	11
An Information Theory Based Method for Quantifying the Predictability of Human Mobility	11
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos	11
BapFL: You can Backdoor Personalized Federated Learning	11
On Dynamically Pricing Crowdsourcing Tasks	11
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach	11
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor	11
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization	10
Discovering Interesting Patterns from Hypergraphs	10
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships	10
Dual-View Anomaly Detection in Heterogeneous Information Networks with Hierarchical Neighborhood Fusion	10
Accurate Open-Set Recognition for Memory Workload	10
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model	10
Triadic Closure Sensitive Influence Maximization	10
Corrigendum: Diffusion Models for Tabular Data Imputation and Synthetic Data Generation	10
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection	10
A Survey on AutoML Methods and Systems for Clustering	10
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search	10
Towards Fair Decision Boundaries in Clustering: Integrating Disparate Impact Criteria into Maximum Margin Clustering	10
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios	10
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting	10
Multi-Label Quantification	9
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment	9
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training	9
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation	9
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination	9
On Equivalence of Anomaly Detection Algorithms	9
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD	9
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks	9
Distributional Learning for Network Alignment with Global Constraints	9
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition	9
Adaptive Modality Interaction Transformer for Multimodal Knowledge Graph Completion	9
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification	9
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection	9
Review of Clustering Methods for Functional Data	9
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification	8
Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision	8
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network	8
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding	8
Crowdsourcing Truth Inference Based on Label Confidence Clustering	8
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks	8
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification	8
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning	8
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network	8
Graph Deep Factors for Probabilistic Time-series Forecasting	8
Communities in Streaming Graphs: Small Space Data Structure, Benchmark Data Generation, and Linear Algorithm	8
PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records	8
Stochastic Block Models for Complex Network Analysis: A Survey	8
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective	8
Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge Graph	8

Modeling Regime Shifts in Multiple Time Series	8
Raker: A Relation-Aware Knowledge Reasoning Model for Inductive Relation Prediction	8
Label Distribution Guided Hashing for Cross-Modal Retrieval	8
Be Causal: De-Biasing Social Network Confounding in Recommendation	7
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting	7
Towards Prototype-Based Self-Explainable Graph Neural Network	7
Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting	7
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective	7
TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning	7
A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction	7
Learning with Asynchronous Labels	7
Adapting Knowledge Inference Algorithms to Measure Geometry Competencies through a Puzzle Game	7
Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery	7
Totally-ordered Sequential Rules for Utility Maximization	7
Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space	7
Maximizing the Diversity of Exposure in Online Social Networks by Identifying Users with Increased Susceptibility to Persuasion	7
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering	7
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators	7
Optimal Scale-Free Small-World Graphs with Minimum Scaling of Cover Time	7
Stable Subsampling under Model Misspecification and Covariate Shift	7
Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach	7
An Interpretable Deep Learning-based Model for Decision-making through Piecewise Linear Approximation	7
Hierarchical Dense Pattern Detection in Tensors	7
Accuracy, Fairness, Diversity All at Once: An Influence Function Guided Data Enhancement Approach for Recommender System	7
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese	7
Toward Few-Label Vertical Federated Learning	7
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation	7
A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection	6
nSimplex Zen : A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces	6
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification	6
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment	6
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information	6
Temporal Structural Preserving with Subtree Attention in Dynamic Graph Transformers	6
PREFER: A Pre-trained Model Recommendation Framework for Edge Computing Enabled Traffic Flow Prediction	6
Generalized Euclidean Measure to Estimate Distances on Multilayer Networks	6
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies	6
Do We Really Need Imputation in AutoML Predictive Modeling?	6
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization	6
A Semantics-enhanced Topic Modelling Technique: Semantic-LDA	6
NNC-GCN: Neighbours-to-Neighbours Contrastive Graph Convolutional Network for Semi-Supervised Classification	6
Robust Distributed Estimation for Modal Regression under Least Squares Approximation	6
Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm	6
FastHGNN: A New Sampling Technique for Learning with Hypergraph Neural Networks	6
A Rumor Propagation Model Based on User Cognition and Evolutionary Game	6
Together Is Better: Knowledge-aware Model with Resume Fusion for Online Job Recommendation	6
Conditional Independence Test Based on Residual Similarity	6
GFformer: A Graph Transformer for Extracting All Frequency Information from Large-scale Graphs	6
Efficient GNN Explanation via Learning Removal-based Attribution	6
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains	6
SE-GCL: A Semantic-Enhanced Graph Contrastive Learning Framework for Road Network Embedding	5
Dual Homogeneity Hypergraph Motifs with Cross-view Contrastive Learning for Multiple Social Recommendations	5
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks	5
ABLE: Meta-Path Prediction in Heterogeneous Information Networks	5
Computing Random Forest-distances in the presence of missing data	5
Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs	5
Time Series Classification with Elasticity Using Augmented Path Signatures	5
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond	5
Swarm Self-supervised Hypergraph Embedding for Recommendation	5
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning	5
sGrapp: Butterfly Approximation in Streaming Graphs	5
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning	5
Mixed Information Flow for Cross-Domain Sequential Recommendations	5
CAT-LLM: Style-enhanced Large Language Models with Text Style Definition for Chinese Article-style Transfer	5
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering	5
Local Overlapping Spatial-aware Community Detection	5
Website Owner Identification through Multi-level Contrastive Representation Learning	5
Convolutional Network Integrated with Frequency Adaptive Learning for Multivariate Time Series Classification	5
Graph Time-series Modeling in Deep Learning: A Survey	5
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation	5
Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model	5
A Survey on Explainable Anomaly Detection	5
Towards Sequence Utility Maximization under Utility Occupancy Measure	5
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location	5
Adaptive Model Scheduling for Resource-efficient Data Labeling	5
Multi-Stage Machine Learning Model for Hierarchical Tie Valence Prediction	4
Adaptive Content-Aware Influence Maximization via Online Learning to Rank	4
Modeling On-road Trajectories with Multi-task Learning	4
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning	4
Graph Mining for Cybersecurity: A Survey	4
Graph Self-attention Mechanism for Interpretable Multi-hop Knowledge Graph Link Prediction	4
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning	4
FairGAT: Fairness-Aware Graph Attention Networks	4
Dual-View Learning from Crowds	4
Mobility Prediction via Rule-enhanced Knowledge Graph	4
A Survey on Knowledge Graph Related Research in Smart City Domain	4
Asymmetric Learning for Graph Neural Network based Link Prediction	4
DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks	4
Meta-Information Fusion of Hierarchical Semantics Dependency and Graph Structure for Structured Text Classification	4
Exploiting Higher Order Multi-dimensional Relationships with Self-attention for Author Name Disambiguation	4
Quantum Nearest Neighbor Collaborative Filtering Algorithm for Recommendation System	4
Structure Amplification on Multi-layer Stochastic Block Models	4
Triangle Centrality	4
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning	4
Contact Tracing and Epidemic Intervention via Deep Reinforcement Learning	4
L2MM: Learning to Map Matching with Deep Models for Low-Quality GPS Trajectory Data	4