ACM Transactions on Knowledge Discovery From Data

Article	Citations
Toward Quality of Information Aware Distributed Machine Learning	403
Detecting Anomalous Graphs in Labeled Multi-Graph Databases	301
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation	175
Random Walk Sampling in Social Networks Involving Private Nodes	115
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding	104
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder	97
Put Your Voice on Stage: Personalized Headline Generation for News Articles	82
Causal Discovery via Causal Star Graphs	71
Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction	62
StructCoder: Structure-Aware Transformer for Code Generation	52
Parameter-Agnostic Deep Graph Clustering	50
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series	49
Relative Entropy-based Regularized Non-negative Matrix Factorization for Attributed Graph Clustering	48
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey	42
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation	41
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection	41
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series	38
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning	38
A Compact Vulnerability Knowledge Graph for Risk Assessment	37
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining	37
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks	35
Privacy-Preserving Representation Learning with Gradient Obfuscation against Attribute Inference for Recommendation	34
HITS-based Propagation Paradigm for Graph Neural Networks	33
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs	33
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization	32

Same or Different? Diff-Vectors for Authorship Analysis	32
Graph Domain Adaptation: A Generative View	31
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention	30
Tri-perspective Multi-view Classification	29
Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks	29
Utility-Oriented Reranking with Counterfactual Context	28
Uncovering the Local Hidden Community Structure in Social Networks	28
Causal Discovery Using Weight-Based Conditional Independence Test	28
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation	28
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search	26
Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation	26
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness	26
Consistency and Invariance Guided Multi-View Hypergraph Learning for Robust Hyperedge Prediction	26
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling	25
Generative Multi-Label Correlation Learning	25
A Novel Classification Technique based on Formal Methods	25
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection	25
Road Network Representation Learning: A Dual Graph-based Approach	24
diGRASS: Di rected Gra ph S pectral S parsification via Spectrum-Preserving	24
Retrieval-Augmented Generation for Multi-Hop Question Answering Based on Structured Planning	23
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation	22
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation	22
A Survey on Signed Network Reconstruction Modeling and its Applications	22
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach	22
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion	21
A Propagation Model of Derived Topic Based on Cognitive Accumulation and Transfer Learning	21
HW-Forest: Deep Forest with Hashing Screening and Window Screening	21
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs	21
The Distance Function Optimization for the Near Neighbors-Based Classifiers	20
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction	20
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph	20
Competitive-Cooperative Multi-Task Optimization Algorithm with Historical Success Archive	20
Representation Learning Based on Ordinary Differential Equations for Dynamic Networks	20
Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting	19
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks	19
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG	19
A Compression-Based Approach to Detecting Automated and Coordinated Behavior on Social Media	19
Means of Hitting Times for Random Walks on Graphs: Connections, Computation, and Optimization	19
Privacy-Preserving Machine Learning Based on Cryptography: A Survey	19
Feature Selection as Deep Sequential Generative Learning	18
A Weighted Ensemble Classification Algorithm Based on Nearest Neighbors for Multi-Label Data Stream	18
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network	18
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning	18
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions	17
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias	17
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning	17
Balancing Fairness and Accuracy in Data-Restricted Binary Classification	17
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey	17
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data	17
Learning Hierarchical Task Structures for Few-shot Graph Classification	16

Online Learning for Noisy Labeled Streams	16
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions	16
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation	15
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology	15
Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection	15
Graph Out-of-Distribution Generalization Based on Structural-Entropy-Guided Information Bottleneck	15
CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System	15
FGTL: Federated Graph Transfer Learning for Node Classification	15
Designated Masking Propagation Learning for Self-Supervised Heterogeneous Graph Representation	15
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization	15
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast	15
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths	15
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data	15
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data	14
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models	14
Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems	14
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation	14
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models	14
SR-HyperFM: Sample Relationship Aware Hypergraph Factorization Machines for Feature Interaction Modeling	14
Flareon: Stealthy All2all Backdoor Injection via Poisoned Augmentation	14
Intent-aware Recommendation Based on Principal Component Analysis	14
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach	14
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor	14
Local and Global Exploration for Next New POI Recommendation	13
BapFL: You can Backdoor Personalized Federated Learning	13
SigGAN: Adversarial Model for Learning Signed Relationships in Networks	13
On Dynamically Pricing Crowdsourcing Tasks	13
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization	13
A Multilayered Approach to Constructing a Patent Field of Technology Ontology	13
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks	13
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding	13
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos	13
Towards Fair Decision Boundaries in Clustering: Integrating Disparate Impact Criteria into Maximum Margin Clustering	13
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey	13
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data	13
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning	13
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting	12
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search	12
An Information Theory Based Method for Quantifying the Predictability of Human Mobility	12
Accurate Open-Set Recognition for Memory Workload	12
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization	12
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors	12
Dual-View Anomaly Detection in Heterogeneous Information Networks with Hierarchical Neighborhood Fusion	12
Corrigendum: Diffusion Models for Tabular Data Imputation and Synthetic Data Generation	12
Erratum: A Dual Perspective Framework of Knowledge-correlation for Cross-domain Recommendation	11
CORE: Data Augmentation for Link Prediction via Information Bottleneck	11
A Survey on AutoML Methods and Systems for Clustering	11
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition	11
Adaptive Modality Interaction Transformer for Multimodal Knowledge Graph Completion	11
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination	11
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios	11
Discovering Interesting Patterns from Hypergraphs	11
Causal Disentanglement for Implicit Recommendations with Network Information	11
Multi-Label Quantification	11
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation	11
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment	11
Directed Acyclic Graphs Structure Learning with the Absorbing Markov Chain	11
Triadic Closure Sensitive Influence Maximization	11
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships	11
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model	11
Review of Clustering Methods for Functional Data	11
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection	11
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD	10
A Traffic Data Imputation Method Based on Spatial-temporal Synchronous Graph Recovery Neural Network	10
Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision	10
On Equivalence of Anomaly Detection Algorithms	10
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification	10
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection	10
Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge Graph	10
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks	10
Distributional Learning for Network Alignment with Global Constraints	10
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification	10
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training	10
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning	9
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification	9
LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges	9
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering	9
An Adaptive Model Aggregation Framework for Enhanced Swarm Learning	9
Exploring Direction Alignment and Discrepancy Standardization for Knowledge Distillation	9
Communities in Streaming Graphs: Small Space Data Structure, Benchmark Data Generation, and Linear Algorithm	9

History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network	9
Enhancing Product Search with Query-Aware Multi-Facet Explanations through Hierarchical Graph Convolution	9
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding	9
Raker: A Relation-Aware Knowledge Reasoning Model for Inductive Relation Prediction	9
Topology-aware Reinforcement Feature Space Reconstruction for Graph Data	9
PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records	9
Crowdsourcing Truth Inference Based on Label Confidence Clustering	9
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective	9
Graph Deep Factors for Probabilistic Time-series Forecasting	9
Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone	9
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network	9
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks	9
TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning	9
A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction	9
Stochastic Block Models for Complex Network Analysis: A Survey	9