ACM Transactions on Knowledge Discovery From Data

Article	Citations
Toward Quality of Information Aware Distributed Machine Learning	254
Parameter-Agnostic Deep Graph Clustering	192
Graph Community Infomax	136
Same or Different? Diff-Vectors for Authorship Analysis	79
Causal Discovery via Causal Star Graphs	70
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks	69
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series	62
HITS-based Propagation Paradigm for Graph Neural Networks	60
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder	44
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation	41
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs	40
Detecting Anomalous Graphs in Labeled Multi-Graph Databases	38
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding	37
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining	36
StructCoder: Structure-Aware Transformer for Code Generation	34
Graph Domain Adaptation: A Generative View	33
A Compact Vulnerability Knowledge Graph for Risk Assessment	31
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection	30
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization	28
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation	27
Put Your Voice on Stage: Personalized Headline Generation for News Articles	26
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning	26
Random Walk Sampling in Social Networks Involving Private Nodes	24
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey	24
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series	24

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness	23
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction	22
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition	22
Toward Understanding and Evaluating Structural Node Embeddings	21
Utility-Oriented Reranking with Counterfactual Context	21
KRAN: Knowledge Refining Attention Network for Recommendation	21
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention	20
Causal Discovery Using Weight-Based Conditional Independence Test	20
Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks	20
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model	20
Uncovering the Local Hidden Community Structure in Social Networks	20
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation	20
Privacy-Preserving Mechanisms for Multi-Label Image Recognition	19
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search	19
A Novel Classification Technique based on Formal Methods	18
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation	18
diGRASS: Di rected Gra ph S pectral S parsification via Spectrum-Preserving	18
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing	18
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling	18
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion	17
Generative Multi-Label Correlation Learning	17
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation	17
Road Network Representation Learning: A Dual Graph-based Approach	17
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection	17
HW-Forest: Deep Forest with Hashing Screening and Window Screening	16
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach	16
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs	16
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation	16
The Distance Function Optimization for the Near Neighbors-Based Classifiers	15
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning	15
A Propagation Model of Derived Topic Based on Cognitive Accumulation and Transfer Learning	15
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction	15
Representation Learning Based on Ordinary Differential Equations for Dynamic Networks	15
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning	15
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data	15
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph	15
Deciphering Feature Effects on Decision-Making in Ordinal Regression Problems: An Explainable Ordinal Factorization Model	15
Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting	14
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions	14
Means of Hitting Times for Random Walks on Graphs: Connections, Computation, and Optimization	14
Graph Neural News Recommendation with User Existing and Potential Interest Modeling	14
Privacy-Preserving Machine Learning Based on Cryptography: A Survey	14
Feature Selection as Deep Sequential Generative Learning	14
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning	14
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model	14
A Weighted Ensemble Classification Algorithm Based on Nearest Neighbors for Multi-Label Data Stream	14
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey	14
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks	14
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG	14
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network	13

Measuring and Mitigating Gender Bias in Legal Contextualized Language Models	13
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation	13
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics	13
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias	13
Online Learning for Noisy Labeled Streams	13
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast	13
FGTL: Federated Graph Transfer Learning for Node Classification	13
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions	13
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths	13
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data	13
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology	12
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization	12
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data	12
Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection	12
DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation	12
Learning Hierarchical Task Structures for Few-shot Graph Classification	12
Intent-aware Recommendation Based on Principal Component Analysis	12
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation	12
Balancing Fairness and Accuracy in Data-Restricted Binary Classification	12
CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System	12
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models	11
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks	11
BapFL: You can Backdoor Personalized Federated Learning	11
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach	11
On Dynamically Pricing Crowdsourcing Tasks	11
SigGAN: Adversarial Model for Learning Signed Relationships in Networks	11
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding	11
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos	11
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning	11
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization	11
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor	11
Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems	11
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data	10
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search	10
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection	10
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors	10
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey	10
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios	10
Triadic Closure Sensitive Influence Maximization	10
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training	9
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment	9
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships	9
A Survey on AutoML Methods and Systems for Clustering	9
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting	9
Distributional Learning for Network Alignment with Global Constraints	9
Multi-Label Quantification	9
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation	9
Accurate Open-Set Recognition for Memory Workload	9
Causal Disentanglement for Implicit Recommendations with Network Information	9
Discovering Interesting Patterns from Hypergraphs	9
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks	9
Context-Aware Semantic Annotation of Mobility Records	9
An Information Theory Based Method for Quantifying the Predictability of Human Mobility	9
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model	9
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization	9
On Equivalence of Anomaly Detection Algorithms	9
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD	8
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification	8
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition	8
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network	8
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network	8
Stochastic Block Models for Complex Network Analysis: A Survey	8
Adaptive Modality Interaction Transformer for Multimodal Knowledge Graph Completion	8
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection	8
Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge Graph	8
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning	8
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective	8
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification	8
Review of Clustering Methods for Functional Data	8
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination	8
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification	8
Graph Deep Factors for Probabilistic Time-series Forecasting	8
Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision	8
Corpus-level and Concept-based Explanations for Interpretable Document Classification	8
Learning with Asynchronous Labels	7
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators	7
A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction	7
Modeling Regime Shifts in Multiple Time Series	7
Label Distribution Guided Hashing for Cross-Modal Retrieval	7
TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning	7

Optimal Scale-Free Small-World Graphs with Minimum Scaling of Cover Time	7
Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting	7
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining	7
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering	7
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks	7
Crowdsourcing Truth Inference Based on Label Confidence Clustering	7
Toward Few-Label Vertical Federated Learning	7
Adapting Knowledge Inference Algorithms to Measure Geometry Competencies through a Puzzle Game	7
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation	7
Towards Prototype-Based Self-Explainable Graph Neural Network	7
PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records	7
Be Causal: De-Biasing Social Network Confounding in Recommendation	7
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding	7
Communities in Streaming Graphs: Small Space Data Structure, Benchmark Data Generation, and Linear Algorithm	7
Raker: A Relation-Aware Knowledge Reasoning Model for Inductive Relation Prediction	7
Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery	7
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective	7
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization	6
Robust Distributed Estimation for Modal Regression under Least Squares Approximation	6
Totally-ordered Sequential Rules for Utility Maximization	6
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting	6
Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach	6
Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm	6
Hierarchical Dense Pattern Detection in Tensors	6
PREFER: A Pre-trained Model Recommendation Framework for Edge Computing Enabled Traffic Flow Prediction	6
Graph Time-series Modeling in Deep Learning: A Survey	6
FastHGNN: A New Sampling Technique for Learning with Hypergraph Neural Networks	6
A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection	6
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification	6
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese	6
nSimplex Zen : A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces	6
Maximizing the Diversity of Exposure in Online Social Networks by Identifying Users with Increased Susceptibility to Persuasion	6
Generalized Euclidean Measure to Estimate Distances on Multilayer Networks	6
Conditional Independence Test Based on Residual Similarity	6
GFformer: A Graph Transformer for Extracting All Frequency Information from Large-scale Graphs	6
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies	6
An Interpretable Deep Learning-based Model for Decision-making through Piecewise Linear Approximation	6
Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space	6
Together Is Better: Knowledge-aware Model with Resume Fusion for Online Job Recommendation	6
Do We Really Need Imputation in AutoML Predictive Modeling?	6
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation	6
Assessing Large-Scale Power Relations among Locations from Mobility Data	5
Convolutional Network Integrated with Frequency Adaptive Learning for Multivariate Time Series Classification	5
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning	5
Time Series Classification with Elasticity Using Augmented Path Signatures	5
SE-GCL: A Semantic-Enhanced Graph Contrastive Learning Framework for Road Network Embedding	5
Temporal Structural Preserving with Subtree Attention in Dynamic Graph Transformers	5
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment	5
A Semantics-enhanced Topic Modelling Technique: Semantic-LDA	5
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains	5
Social Group Query Based on Multi-Fuzzy-Constrained Strong Simulation	5
Adaptive Model Scheduling for Resource-efficient Data Labeling	5
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks	5
Unsupervised Adversarial Network Alignment with Reinforcement Learning	5
Computing Random Forest-distances in the presence of missing data	5
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information	5
Wealth Flow Model: Online Portfolio Selection Based on Learning Wealth Flow Matrices	5
sGrapp: Butterfly Approximation in Streaming Graphs	5
Dual Homogeneity Hypergraph Motifs with Cross-view Contrastive Learning for Multiple Social Recommendations	5
Local Overlapping Spatial-aware Community Detection	5
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond	5
Mixed Information Flow for Cross-Domain Sequential Recommendations	5
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering	5
Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs	5
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location	5
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning	5
Efficient GNN Explanation via Learning Removal-based Attribution	5
NNC-GCN: Neighbours-to-Neighbours Contrastive Graph Convolutional Network for Semi-Supervised Classification	5
ABLE: Meta-Path Prediction in Heterogeneous Information Networks	5
Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model	5
Quantum Nearest Neighbor Collaborative Filtering Algorithm for Recommendation System	4
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning	4
FairGAT: Fairness-Aware Graph Attention Networks	4
Fully Dynamic Clustering and Diversity Maximization in Doubling Metrics	4
Multi-Stage Machine Learning Model for Hierarchical Tie Valence Prediction	4
Exploiting Higher Order Multi-dimensional Relationships with Self-attention for Author Name Disambiguation	4
A Hybrid Continuous-Time Dynamic Graph Representation Learning Model by Exploring Both Temporal and Repetitive Information	4
Swarm Self-supervised Hypergraph Embedding for Recommendation	4
Mobility Prediction via Rule-enhanced Knowledge Graph	4
Introduction for the Special Issue on Trustworthy Artificial Intelligence	4
L2MM: Learning to Map Matching with Deep Models for Low-Quality GPS Trajectory Data	4
Effective and Scalable Manifold Ranking-Based Image Retrieval with Output Bound	4
Modeling On-road Trajectories with Multi-task Learning	4
A Survey on Knowledge Graph Related Research in Smart City Domain	4
Revisiting the Role of Heterophily in Graph Representation Learning: An Edge Classification Perspective	4
An Efficient Aggregation Method for the Symbolic Representation of Temporal Data	4
Asymmetric Learning for Graph Neural Network based Link Prediction	4
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning	4
Dual-View Learning from Crowds	4
Adaptive Content-Aware Influence Maximization via Online Learning to Rank	4
Structure Amplification on Multi-layer Stochastic Block Models	4
A Meta-Learning Approach to Mitigating the Estimation Bias of Q-Learning	4
Three-stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero- and Few-shot Learning with Domain Distribution Alignment	4
A Survey on Explainable Anomaly Detection	4
Subspace-Contrastive Multi-View Clustering	4