ACM Transactions on Knowledge Discovery From Data

Papers
(The median citation count of ACM Transactions on Knowledge Discovery From Data is 2. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks238
Put Your Voice on Stage: Personalized Headline Generation for News Articles180
Graph Community Infomax131
Toward Quality of Information Aware Distributed Machine Learning76
Random Walk Sampling in Social Networks Involving Private Nodes68
Same or Different? Diff-Vectors for Authorship Analysis61
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation58
Graph Domain Adaptation: A Generative View57
Parameter-Agnostic Deep Graph Clustering43
Causal Discovery via Causal Star Graphs40
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding38
HITS-based Propagation Paradigm for Graph Neural Networks35
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series34
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder34
OTM : Efficient k -Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs34
Detecting Anomalous Graphs in Labeled Multi-Graph Databases33
A Compact Vulnerability Knowledge Graph for Risk Assessment30
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning28
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining28
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey26
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection26
StructCoder: Structure-Aware Transformer for Code Generation26
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation23
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series22
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization22
KRAN: Knowledge Refining Attention Network for Recommendation21
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model21
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search21
Toward Understanding and Evaluating Structural Node Embeddings21
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition20
Uncovering the Local Hidden Community Structure in Social Networks20
Causal Discovery Using Weight-Based Conditional Independence Test20
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation19
Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks19
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention19
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness18
Privacy-Preserving Mechanisms for Multi-Label Image Recognition18
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction18
Utility-Oriented Reranking with Counterfactual Context18
diGRASS: Di rected Gra ph S pectral S parsification via Spectrum-Preserving 17
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation17
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling17
A Novel Classification Technique based on Formal Methods17
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection16
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach16
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation16
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion16
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation15
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs15
A Weighted Ensemble Classification Algorithm Based on Nearest Neighbors for Multi-Label Data Stream15
HW-Forest: Deep Forest with Hashing Screening and Window Screening15
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing15
The Distance Function Optimization for the Near Neighbors-Based Classifiers15
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions15
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning15
Road Network Representation Learning: A Dual Graph-based Approach15
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data15
Generative Multi-Label Correlation Learning15
Deciphering Feature Effects on Decision-Making in Ordinal Regression Problems: An Explainable Ordinal Factorization Model14
Means of Hitting Times for Random Walks on Graphs: Connections, Computation, and Optimization14
Privacy-Preserving Machine Learning Based on Cryptography: A Survey14
A Propagation Model of Derived Topic Based on Cognitive Accumulation and Transfer Learning14
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning14
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey14
Representation Learning Based on Ordinary Differential Equations for Dynamic Networks14
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks13
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning13
Graph Neural News Recommendation with User Existing and Potential Interest Modeling13
Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting13
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG13
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network13
Feature Selection as Deep Sequential Generative Learning13
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model13
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction13
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph13
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias13
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions13
Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection12
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics12
FGTL: Federated Graph Transfer Learning for Node Classification12
Measuring and Mitigating Gender Bias in Legal Contextualized Language Models12
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation12
Online Learning for Noisy Labeled Streams12
Learning Hierarchical Task Structures for Few-shot Graph Classification11
CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System11
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast11
Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation11
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data11
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology11
Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization11
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data11
Intent-aware Recommendation Based on Principal Component Analysis11
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths11
DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation11
SigGAN: Adversarial Model for Learning Signed Relationships in Networks10
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization10
Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey10
BapFL: You can Backdoor Personalized Federated Learning10
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning10
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks10
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach10
Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems10
Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor10
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos10
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models10
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data10
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding10
On Dynamically Pricing Crowdsourcing Tasks10
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search9
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection9
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization9
Causal Disentanglement for Implicit Recommendations with Network Information9
A Survey on AutoML Methods and Systems for Clustering9
An Information Theory Based Method for Quantifying the Predictability of Human Mobility9
Discovering Interesting Patterns from Hypergraphs9
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting9
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model9
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors9
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships9
Accurate Open-Set Recognition for Memory Workload9
Triadic Closure Sensitive Influence Maximization9
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation8
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks8
Multi-Label Quantification8
Review of Clustering Methods for Functional Data8
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification8
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network8
Context-Aware Semantic Annotation of Mobility Records8
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination8
Distributional Learning for Network Alignment with Global Constraints8
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment8
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD8
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective8
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training8
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios8
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification8
On Equivalence of Anomaly Detection Algorithms8
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition8
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection8
Corpus-level and Concept-based Explanations for Interpretable Document Classification8
Be Causal: De-Biasing Social Network Confounding in Recommendation7
Modeling Regime Shifts in Multiple Time Series7
Communities in Streaming Graphs: Small Space Data Structure, Benchmark Data Generation, and Linear Algorithm7
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network7
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering7
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective7
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation7
Raker: A Relation-aware Knowledge Reasoning Model for Inductive Relation Prediction7
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators7
Crowdsourcing Truth Inference Based on Label Confidence Clustering7
Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision7
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning7
Graph Deep Factors for Probabilistic Time-series Forecasting7
TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning7
Toward Few-Label Vertical Federated Learning7
Label Distribution Guided Hashing for Cross-Modal Retrieval7
A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction7
Stochastic Block Models for Complex Network Analysis: A Survey7
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks7
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification7
Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge Graph7
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding7
Adapting Knowledge Inference Algorithms to Measure Geometry Competencies through a Puzzle Game7
PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records7
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining7
Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting6
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification6
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation6
A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection6
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese6
Optimal Scale-Free Small-World Graphs with Minimum Scaling of Cover Time6
Maximizing the Diversity of Exposure in Online Social Networks by Identifying Users with Increased Susceptibility to Persuasion6
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies6
Totally-ordered Sequential Rules for Utility Maximization6
Hierarchical Dense Pattern Detection in Tensors6
nSimplex Zen : A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces6
Do We Really Need Imputation in AutoML Predictive Modeling?6
Together Is Better: Knowledge-aware Model with Resume Fusion for Online Job Recommendation6
Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach6
Learning with Asynchronous Labels6
Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space6
Temporal Structural Preserving with Subtree Attention in Dynamic Graph Transformers6
An Interpretable Deep Learning-based Model for Decision-making through Piecewise Linear Approximation6
Generalized Euclidean Measure to Estimate Distances on Multilayer Networks6
FastHGNN: A New Sampling Technique for Learning with Hypergraph Neural Networks6
Towards Prototype-Based Self-Explainable Graph Neural Network6
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting6
Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm6
Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery6
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains5
Wealth Flow Model: Online Portfolio Selection Based on Learning Wealth Flow Matrices5
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information5
Dual Homogeneity Hypergraph Motifs with Cross-view Contrastive Learning for Multiple Social Recommendations5
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning5
Robust Distributed Estimation for Modal Regression under Least Squares Approximation5
Social Group Query Based on Multi-Fuzzy-Constrained Strong Simulation5
GFformer: A Graph Transformer for Extracting All Frequency Information from Large-scale Graphs5
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization5
PREFER: A Pre-trained Model Recommendation Framework for Edge Computing Enabled Traffic Flow Prediction5
ABLE: Meta-Path Prediction in Heterogeneous Information Networks5
Efficient GNN Explanation via Learning Removal-based Attribution5
Graph Time-series Modeling in Deep Learning: A Survey5
Local Overlapping Spatial-aware Community Detection5
Adaptive Model Scheduling for Resource-efficient Data Labeling5
A Semantics-enhanced Topic Modelling Technique: Semantic-LDA5
sGrapp: Butterfly Approximation in Streaming Graphs5
Conditional Independence Test Based on Residual Similarity5
Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model5
NNC-GCN: Neighbours-to-Neighbours Contrastive Graph Convolutional Network for Semi-Supervised Classification5
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment5
Swarm Self-supervised Hypergraph Embedding for Recommendation5
Assessing Large-Scale Power Relations among Locations from Mobility Data5
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer4
Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs4
Unsupervised Adversarial Network Alignment with Reinforcement Learning4
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location4
A Survey on Explainable Anomaly Detection4
VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-modal Information Retrieval4
Asymmetric Learning for Graph Neural Network based Link Prediction4
Quantum Nearest Neighbor Collaborative Filtering Algorithm for Recommendation System4
CAT-LLM: Style-enhanced Large Language Models with Text Style Definition for Chinese Article-style Transfer4
Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks4
Embedding Heterogeneous Information Network in Hyperbolic Spaces4
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders4
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks4
Time Series Classification with Elasticity Using Augmented Path Signatures4
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning4
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond4
Subspace-Contrastive Multi-View Clustering4
Mobility Prediction via Rule-enhanced Knowledge Graph4
A Survey on Knowledge Graph Related Research in Smart City Domain4
FairGAT: Fairness-Aware Graph Attention Networks4
Profile Decomposition Based Hybrid Transfer Learning for Cold-Start Data Anomaly Detection4
Mixed Information Flow for Cross-Domain Sequential Recommendations4
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis4
Three-stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero- and Few-shot Learning with Domain Distribution Alignment4
Fairness of Information Flow in Social Networks4
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering4
Computing Random Forest-distances in the presence of missing data4
A Hybrid Continuous-Time Dynamic Graph Representation Learning Model by Exploring Both Temporal and Repetitive Information4
Introduction for the Special Issue on Trustworthy Artificial Intelligence4
Structure Amplification on Multi-layer Stochastic Block Models4
A Meta-Learning Approach to Mitigating the Estimation Bias of Q-Learning4
Multi-Stage Machine Learning Model for Hierarchical Tie Valence Prediction4
Towards Sequence Utility Maximization under Utility Occupancy Measure4
Revisiting the Role of Heterophily in Graph Representation Learning: An Edge Classification Perspective4
An Efficient Aggregation Method for the Symbolic Representation of Temporal Data4
A Clique-Querying Mining Framework for Discovering High Utility Co-Location Patterns without Generating Candidates3
Fuzzy Weighted Principal Component Analysis for Anomaly Detection3
Image Hash Layer Triggered CNN Framework for Wafer Map Failure Pattern Retrieval and Classification3
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