ACM Transactions on Knowledge Discovery From Data

Papers
(The TQCC of ACM Transactions on Knowledge Discovery From Data is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
Toward Quality of Information Aware Distributed Machine Learning254
Parameter-Agnostic Deep Graph Clustering192
Graph Community Infomax136
Same or Different? Diff-Vectors for Authorship Analysis79
Causal Discovery via Causal Star Graphs70
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks69
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series62
HITS-based Propagation Paradigm for Graph Neural Networks60
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder44
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation41
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs40
Detecting Anomalous Graphs in Labeled Multi-Graph Databases38
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding37
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining36
StructCoder: Structure-Aware Transformer for Code Generation34
Graph Domain Adaptation: A Generative View33
A Compact Vulnerability Knowledge Graph for Risk Assessment31
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection30
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization28
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation27
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning26
Put Your Voice on Stage: Personalized Headline Generation for News Articles26
Random Walk Sampling in Social Networks Involving Private Nodes24
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey24
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series24
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness23
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction22
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition22
Utility-Oriented Reranking with Counterfactual Context21
KRAN: Knowledge Refining Attention Network for Recommendation21
Toward Understanding and Evaluating Structural Node Embeddings21
Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks20
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model20
Uncovering the Local Hidden Community Structure in Social Networks20
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation20
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention20
Causal Discovery Using Weight-Based Conditional Independence Test20
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search19
Privacy-Preserving Mechanisms for Multi-Label Image Recognition19
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 Crowdsourcing18
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling18
A Novel Classification Technique based on Formal Methods18
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation18
Generative Multi-Label Correlation Learning17
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation17
Road Network Representation Learning: A Dual Graph-based Approach17
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection17
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion17
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs16
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation16
HW-Forest: Deep Forest with Hashing Screening and Window Screening16
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach16
A Propagation Model of Derived Topic Based on Cognitive Accumulation and Transfer Learning15
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction15
Representation Learning Based on Ordinary Differential Equations for Dynamic Networks15
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning15
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data15
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph15
Deciphering Feature Effects on Decision-Making in Ordinal Regression Problems: An Explainable Ordinal Factorization Model15
The Distance Function Optimization for the Near Neighbors-Based Classifiers15
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning15
Privacy-Preserving Machine Learning Based on Cryptography: A Survey14
Feature Selection as Deep Sequential Generative Learning14
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning14
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model14
A Weighted Ensemble Classification Algorithm Based on Nearest Neighbors for Multi-Label Data Stream14
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey14
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks14
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG14
Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting14
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions14
Means of Hitting Times for Random Walks on Graphs: Connections, Computation, and Optimization14
Graph Neural News Recommendation with User Existing and Potential Interest Modeling14
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias13
Online Learning for Noisy Labeled Streams13
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast13
FGTL: Federated Graph Transfer Learning for Node Classification13
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions13
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths13
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data13
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network13
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models13
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation13
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics13
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data12
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation12
CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System12
Intent-aware Recommendation Based on Principal Component Analysis12
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology12
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization12
Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection12
Balancing Fairness and Accuracy in Data-Restricted Binary Classification12
DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation12
Learning Hierarchical Task Structures for Few-shot Graph Classification12
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning11
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization11
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor11
Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems11
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models11
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks11
BapFL: You can Backdoor Personalized Federated Learning11
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach11
On Dynamically Pricing Crowdsourcing Tasks11
SigGAN: Adversarial Model for Learning Signed Relationships in Networks11
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding11
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos11
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey10
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios10
Triadic Closure Sensitive Influence Maximization10
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data10
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search10
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection10
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors10
Context-Aware Semantic Annotation of Mobility Records9
An Information Theory Based Method for Quantifying the Predictability of Human Mobility9
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model9
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization9
On Equivalence of Anomaly Detection Algorithms9
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training9
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment9
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships9
A Survey on AutoML Methods and Systems for Clustering9
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting9
Distributional Learning for Network Alignment with Global Constraints9
Multi-Label Quantification9
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation9
Accurate Open-Set Recognition for Memory Workload9
Causal Disentanglement for Implicit Recommendations with Network Information9
Discovering Interesting Patterns from Hypergraphs9
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks9
Review of Clustering Methods for Functional Data8
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination8
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification8
Graph Deep Factors for Probabilistic Time-series Forecasting8
Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision8
Corpus-level and Concept-based Explanations for Interpretable Document Classification8
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD8
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification8
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition8
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network8
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network8
Stochastic Block Models for Complex Network Analysis: A Survey8
Adaptive Modality Interaction Transformer for Multimodal Knowledge Graph Completion8
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection8
Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge Graph8
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning8
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective8
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification8
PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records7
Be Causal: De-Biasing Social Network Confounding in Recommendation7
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding7
Communities in Streaming Graphs: Small Space Data Structure, Benchmark Data Generation, and Linear Algorithm7
Raker: A Relation-Aware Knowledge Reasoning Model for Inductive Relation Prediction7
Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery7
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective7
Learning with Asynchronous Labels7
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators7
A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction7
Modeling Regime Shifts in Multiple Time Series7
Label Distribution Guided Hashing for Cross-Modal Retrieval7
TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning7
Optimal Scale-Free Small-World Graphs with Minimum Scaling of Cover Time7
Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting7
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining7
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering7
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks7
Crowdsourcing Truth Inference Based on Label Confidence Clustering7
Toward Few-Label Vertical Federated Learning7
Adapting Knowledge Inference Algorithms to Measure Geometry Competencies through a Puzzle Game7
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation7
Towards Prototype-Based Self-Explainable Graph Neural Network7
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