ACM Transactions on Knowledge Discovery From Data

Article	Citations
Toward Quality of Information Aware Distributed Machine Learning	324
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs	247
Detecting Anomalous Graphs in Labeled Multi-Graph Databases	156
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation	103
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series	94
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks	84
Same or Different? Diff-Vectors for Authorship Analysis	69
Random Walk Sampling in Social Networks Involving Private Nodes	64
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding	53
Parameter-Agnostic Deep Graph Clustering	48
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining	47
Put Your Voice on Stage: Personalized Headline Generation for News Articles	45
Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction	44
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection	44
Privacy-Preserving Representation Learning with Gradient Obfuscation against Attribute Inference for Recommendation	42
HITS-based Propagation Paradigm for Graph Neural Networks	37
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation	37
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder	35
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series	34
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey	32
StructCoder: Structure-Aware Transformer for Code Generation	31
A Compact Vulnerability Knowledge Graph for Risk Assessment	30
Relative Entropy-based Regularized Non-negative Matrix Factorization for Attributed Graph Clustering	30
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization	29
Causal Discovery via Causal Star Graphs	29

Graph Domain Adaptation: A Generative View	29
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning	29
Utility-Oriented Reranking with Counterfactual Context	28
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention	28
Causal Discovery Using Weight-Based Conditional Independence Test	27
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness	26
Uncovering the Local Hidden Community Structure in Social Networks	26
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search	25
Privacy-Preserving Mechanisms for Multi-Label Image Recognition	25
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model	24
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation	24
Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation	24
Tri-perspective Multi-view Classification	23
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition	23
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction	22
Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks	22
Generative Multi-Label Correlation Learning	22
A Novel Classification Technique based on Formal Methods	21
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation	21
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach	21
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation	20
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection	20
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling	20
HW-Forest: Deep Forest with Hashing Screening and Window Screening	20
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion	20
diGRASS: Di rected Gra ph S pectral S parsification via Spectrum-Preserving	20
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs	20
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction	19
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation	19
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey	19
A Propagation Model of Derived Topic Based on Cognitive Accumulation and Transfer Learning	19
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data	19
Road Network Representation Learning: A Dual Graph-based Approach	19
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning	18
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model	18
Representation Learning Based on Ordinary Differential Equations for Dynamic Networks	18
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph	18
The Distance Function Optimization for the Near Neighbors-Based Classifiers	18
A Weighted Ensemble Classification Algorithm Based on Nearest Neighbors for Multi-Label Data Stream	18
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG	17
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network	17
Competitive-Cooperative Multi-Task Optimization Algorithm with Historical Success Archive	17
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias	17
A Compression-Based Approach to Detecting Automated and Coordinated Behavior on Social Media	17
Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting	17
Privacy-Preserving Machine Learning Based on Cryptography: A Survey	17
Graph Neural News Recommendation with User Existing and Potential Interest Modeling	16
Feature Selection as Deep Sequential Generative Learning	16
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks	16
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions	16

SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions	16
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning	16
Means of Hitting Times for Random Walks on Graphs: Connections, Computation, and Optimization	16
Balancing Fairness and Accuracy in Data-Restricted Binary Classification	15
CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System	15
Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection	15
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation	15
FGTL: Federated Graph Transfer Learning for Node Classification	15
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data	15
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models	14
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation	14
Learning Hierarchical Task Structures for Few-shot Graph Classification	14
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology	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
Graph Out-of-Distribution Generalization Based on Structural-Entropy-Guided Information Bottleneck	14
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data	14
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics	14
Online Learning for Noisy Labeled Streams	13
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach	13
Flareon: Stealthy All2all Backdoor Injection via Poisoned Augmentation	13
BapFL: You can Backdoor Personalized Federated Learning	13
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths	13
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models	13
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning	13
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization	13
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding	13
Intent-aware Recommendation Based on Principal Component Analysis	13
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor	13
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks	13
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors	12
On Dynamically Pricing Crowdsourcing Tasks	12
SigGAN: Adversarial Model for Learning Signed Relationships in Networks	12
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data	12
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey	12
SR-HyperFM: Sample Relationship Aware Hypergraph Factorization Machines for Feature Interaction Modeling	12
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos	12
Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems	12
Discovering Interesting Patterns from Hypergraphs	11
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships	11
Erratum: A Dual Perspective Framework of Knowledge-correlation for Cross-domain Recommendation	11
Accurate Open-Set Recognition for Memory Workload	11
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios	11
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting	11
Towards Fair Decision Boundaries in Clustering: Integrating Disparate Impact Criteria into Maximum Margin Clustering	11
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization	11
An Information Theory Based Method for Quantifying the Predictability of Human Mobility	11
A Survey on AutoML Methods and Systems for Clustering	11
Dual-View Anomaly Detection in Heterogeneous Information Networks with Hierarchical Neighborhood Fusion	11
Triadic Closure Sensitive Influence Maximization	11
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search	11
Causal Disentanglement for Implicit Recommendations with Network Information	10
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training	10
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks	10
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment	10
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection	10
Corrigendum: Diffusion Models for Tabular Data Imputation and Synthetic Data Generation	10
Multi-Label Quantification	10
Adaptive Modality Interaction Transformer for Multimodal Knowledge Graph Completion	10
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model	10
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition	10
On Equivalence of Anomaly Detection Algorithms	10
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation	10
Review of Clustering Methods for Functional Data	9
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification	9
Distributional Learning for Network Alignment with Global Constraints	9
Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge Graph	9
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning	9
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD	9
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification	9
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network	9
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective	9
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination	9
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection	9
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification	9
Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision	9
Stochastic Block Models for Complex Network Analysis: A Survey	9
TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning	8
Crowdsourcing Truth Inference Based on Label Confidence Clustering	8
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering	8

Graph Deep Factors for Probabilistic Time-series Forecasting	8
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network	8
Toward Few-Label Vertical Federated Learning	8
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective	8
Stable Subsampling under Model Misspecification and Covariate Shift	8
Learning with Asynchronous Labels	8
Adapting Knowledge Inference Algorithms to Measure Geometry Competencies through a Puzzle Game	8
Be Causal: De-Biasing Social Network Confounding in Recommendation	8
PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records	8
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding	8
Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone	8
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators	8
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation	8
Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery	8
Topology-aware Reinforcement Feature Space Reconstruction for Graph Data	8
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks	8
Label Distribution Guided Hashing for Cross-Modal Retrieval	8
Raker: A Relation-Aware Knowledge Reasoning Model for Inductive Relation Prediction	8
Modeling Regime Shifts in Multiple Time Series	8
Communities in Streaming Graphs: Small Space Data Structure, Benchmark Data Generation, and Linear Algorithm	8
A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction	8
Accuracy, Fairness, Diversity All at Once: An Influence-Function-Guided Data Enhancement Approach for Recommender System	8
Do We Really Need Imputation in AutoML Predictive Modeling?	7
Maximizing the Diversity of Exposure in Online Social Networks by Identifying Users with Increased Susceptibility to Persuasion	7
Towards Prototype-Based Self-Explainable Graph Neural Network	7
Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting	7
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies	7
A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection	7
Totally-ordered Sequential Rules for Utility Maximization	7
Hierarchical Dense Pattern Detection in Tensors	7
Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space	7
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese	7
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting	7
Together Is Better: Knowledge-aware Model with Resume Fusion for Online Job Recommendation	7
nSimplex Zen : A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces	7
FastHGNN: A New Sampling Technique for Learning with Hypergraph Neural Networks	7
Optimal Scale-Free Small-World Graphs with Minimum Scaling of Cover Time	7
Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach	7
A Rumor Propagation Model Based on User Cognition and Evolutionary Game	7
Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm	7
Generalized Euclidean Measure to Estimate Distances on Multilayer Networks	7
Temporal Structural Preserving with Subtree Attention in Dynamic Graph Transformers	6
SE-GCL: A Semantic-Enhanced Graph Contrastive Learning Framework for Road Network Embedding	6
Time Series Classification with Elasticity Using Augmented Path Signatures	6
ABLE: Meta-Path Prediction in Heterogeneous Information Networks	6
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment	6
PREFER: A Pre-trained Model Recommendation Framework for Edge Computing Enabled Traffic Flow Prediction	6
GFformer: A Graph Transformer for Extracting All Frequency Information from Large-scale Graphs	6
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains	6
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization	6
Dual Homogeneity Hypergraph Motifs with Cross-view Contrastive Learning for Multiple Social Recommendations	6
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering	6
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond	6
sGrapp: Butterfly Approximation in Streaming Graphs	6
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information	6
Robust Distributed Estimation for Modal Regression under Least Squares Approximation	6
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation	6
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification	6
A Semantics-enhanced Topic Modelling Technique: Semantic-LDA	6
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation	6
Graph Time-series Modeling in Deep Learning: A Survey	6
NNC-GCN: Neighbours-to-Neighbours Contrastive Graph Convolutional Network for Semi-Supervised Classification	6
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning	6
Conditional Independence Test Based on Residual Similarity	6
Efficient GNN Explanation via Learning Removal-based Attribution	6
An Interpretable Deep Learning-based Model for Decision-making through Piecewise Linear Approximation	6
Adaptive Model Scheduling for Resource-efficient Data Labeling	5
Computing Random Forest-distances in the presence of missing data	5
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks	5
A Survey on Explainable Anomaly Detection	5
Fairness of Information Flow in Social Networks	5
Mobility Prediction via Rule-enhanced Knowledge Graph	5
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders	5
Towards Sequence Utility Maximization under Utility Occupancy Measure	5
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning	5
Local Overlapping Spatial-aware Community Detection	5
Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs	5
Convolutional Network Integrated with Frequency Adaptive Learning for Multivariate Time Series Classification	5
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer	5
CAT-LLM: Style-enhanced Large Language Models with Text Style Definition for Chinese Article-style Transfer	5
VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-modal Information Retrieval	5
Swarm Self-supervised Hypergraph Embedding for Recommendation	5
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location	5
Website Owner Identification through Multi-level Contrastive Representation Learning	5
Mixed Information Flow for Cross-Domain Sequential Recommendations	5
Profile Decomposition Based Hybrid Transfer Learning for Cold-Start Data Anomaly Detection	5
Three-stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero- and Few-shot Learning with Domain Distribution Alignment	5
Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks	5
An Efficient Aggregation Method for the Symbolic Representation of Temporal Data	5
Iterative Time Series Imputation by Maintaining Dependency Consistency	4
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation	4
Multi-Concept Representation Learning for Knowledge Graph Completion	4
Attacking Click-through Rate Predictors via Generating Realistic Fake Samples	4
A Comprehensive Understanding of the Impact of Data Augmentation on the Transferability of 3D Adversarial Examples	4
Supervised Contrastive Learning for Interpretable Long-Form Document Matching	4