ACM Transactions on Knowledge Discovery From Data

Article	Citations
Knowledge Graph Embedding for Link Prediction	222
Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks	136
A Survey on Causal Inference	133
Network Embedding for Community Detection in Attributed Networks	56
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks	55
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution	49
On Proximity and Structural Role-based Embeddings in Networks	46
A Unified View of Causal and Non-causal Feature Selection	40
Neural Networks for Entity Matching: A Survey	38
Adversarial Attacks on Graph Neural Networks	37
Trajectory Outlier Detection	37
Deep Graph Matching and Searching for Semantic Code Retrieval	37
Story Forest	34
A Survey on Deep Hashing Methods	33
Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances	30
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification	27
Compression of Deep Learning Models for Text: A Survey	26
An Improved KNN-Based Efficient Log Anomaly Detection Method with Automatically Labeled Samples	24
Edge2vec	23
High-Order Structure Exploration on Massive Graphs	22
Graph Neural Networks for Fast Node Ranking Approximation	21
Influence Maximization	21
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis	21
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction	20
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series	20

A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis	20
Learning Graph Neural Networks with Positive and Unlabeled Nodes	20
Self-weighted Multi-view Fuzzy Clustering	19
Multi-User Mobile Sequential Recommendation for Route Optimization	19
Adaptive Influence Maximization	19
Efficient Approaches to k Representative G-Skyline Queries	18
Measuring the Network Vulnerability Based on Markov Criticality	18
Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting	17
Efficient Mining of Outlying Sequence Patterns for Analyzing Outlierness of Sequence Data	17
User Embedding for Expert Finding in Community Question Answering	17
The Gene of Scientific Success	16
Neural Serendipity Recommendation	16
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation	16
Probability Ordinal-Preserving Semantic Hashing for Large-Scale Image Retrieval	16
Fully Dynamic Approximate k-Core Decomposition in Hypergraphs	16
NGUARD+	16
A Method for Mining Granger Causality Relationship on Atmospheric Visibility	16
Be Causal: De-Biasing Social Network Confounding in Recommendation	16
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining	16
Multi-objective Cuckoo Search-based Streaming Feature Selection for Multi-label Dataset	16
Pop Music Generation	16
Utility Mining Across Multi-Dimensional Sequences	15
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey	15
Community Detection in Partially Observable Social Networks	15
Internal Evaluation of Unsupervised Outlier Detection	15
Factor-Bounded Nonnegative Matrix Factorization	15
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning	15
Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network	15
Mixed Information Flow for Cross-Domain Sequential Recommendations	15
Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model	15
Exploring BCI Control in Smart Environments	14
Causal Feature Selection with Missing Data	14
Nested Named Entity Recognition: A Survey	14
Graph Neural News Recommendation with User Existing and Potential Interest Modeling	14
HARP	14
Robust Tensor Recovery with Fiber Outliers for Traffic Events	14
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond	13
Learning Bayesian Networks with the Saiyan Algorithm	13
Predicting Influential Users in Online Social Network Groups	13
Trust Prediction for Online Social Networks with Integrated Time-Aware Similarity	12
Attributed Network Embedding with Micro-Meso Structure	12
Parallel Greedy Algorithm to Multiple Influence Maximization in Social Network	12
Jointly Modeling Spatio–Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction	12
ARIS: A Noise Insensitive Data Pre-Processing Scheme for Data Reduction Using Influence Space	12
SIR-GN: A Fast Structural Iterative Representation Learning Approach For Graph Nodes	12
Core Interest Network for Click-Through Rate Prediction	11
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting	11
Bi-Directional Recurrent Attentional Topic Model	11
On-Shelf Utility Mining of Sequence Data	11
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data	11

An Approach For Concept Drift Detection in a Graph Stream Using Discriminative Subgraphs	11
Network Embedding via Motifs	11
TPmod: A Tendency-Guided Prediction Model for Temporal Knowledge Graph Completion	11
Exploiting Temporal Dynamics in Product Reviews for Dynamic Sentiment Prediction at the Aspect Level	11
Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent	10
Learning Sentence-to-Hashtags Semantic Mapping for Hashtag Recommendation on Microblogs	10
Unbiased Measurement of Feature Importance in Tree-Based Methods	10
Graph-Based Stock Recommendation by Time-Aware Relational Attention Network	10
An Instance Space Analysis of Regression Problems	10
DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation	10
MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble	10
sGrapp: Butterfly Approximation in Streaming Graphs	10
Improved Customer Lifetime Value Prediction With Sequence-To-Sequence Learning and Feature-Based Models	10
ABLE: Meta-Path Prediction in Heterogeneous Information Networks	9
3E-LDA	9
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing	9
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition	9
Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks	9
Mining Largest Maximal Quasi-Cliques	9
Anomaly Detection With Kernel Preserving Embedding	9
Stacked Convolutional Sparse Auto-Encoders for Representation Learning	9
Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction	9
Data Sharing via Differentially Private Coupled Matrix Factorization	9
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans	9
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data	8
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation	8
MBN: Towards Multi-Behavior Sequence Modeling for Next Basket Recommendation	8
Toward Understanding and Evaluating Structural Node Embeddings	8
BiLabel-Specific Features for Multi-Label Classification	8
Lost in Transduction: Transductive Transfer Learning in Text Classification	8
Online Scalable Streaming Feature Selection via Dynamic Decision	8
HW-Forest: Deep Forest with Hashing Screening and Window Screening	8
Heterogeneous Graphlets	8
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics	8
Critique on Natural Noise in Recommender Systems	8
Class Imbalance and Cost-Sensitive Decision Trees	8
Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering	8
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning	7
Distributed Cooperative Coevolution of Data Publishing Privacy and Transparency	7
STAD-GAN: Unsupervised Anomaly Detection on Multivariate Time Series with Self-training Generative Adversarial Networks	7
Network Public Opinion Detection During the Coronavirus Pandemic: A Short-Text Relational Topic Model	7
Incomplete Network Alignment	7
Dual-Embedding based Deep Latent Factor Models for Recommendation	7
CrowdWT	7
TipTap: Approximate Mining of Frequent k -Subgraph Patterns in Evolving Graphs	7
Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social Networks	7
Side Information Fusion for Recommender Systems over Heterogeneous Information Network	7
Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams	7
Robust Image Representation via Low Rank Locality Preserving Projection	7
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation	7
Unsupervised Adversarial Network Alignment with Reinforcement Learning	7
REMIAN	7
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency	7
L2MM: Learning to Map Matching with Deep Models for Low-Quality GPS Trajectory Data	7
Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling	6
Link Recommendation for Social Influence Maximization	6
A Stochastic Algorithm Based on Reverse Sampling Technique to Fight Against the Cyberbullying	6
Profile Decomposition Based Hybrid Transfer Learning for Cold-Start Data Anomaly Detection	6
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks	6
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction	6
KRAN: Knowledge Refining Attention Network for Recommendation	6
Multi-relation Graph Summarization	6
HCBST: An Efficient Hybrid Sampling Technique for Class Imbalance Problems	6
Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints	6
Efficient Outlier Detection in Text Corpus Using Rare Frequency and Ranking	6
Multi-View Collaborative Network Embedding	6
Towards an Optimal Outdoor Advertising Placement	6
Real-Time Anomaly Detection in Edge Streams	6
Discovering Anomalies by Incorporating Feedback from an Expert	6
Intelligent Data Analysis using Optimized Support Vector Machine Based Data Mining Approach for Tourism Industry	6
GrOD : Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training	6
Heterogeneous Univariate Outlier Ensembles in Multidimensional Data	6
Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction	6
GRACE: A General Graph Convolution Framework for Attributed Graph Clustering	6
Opinion Dynamics Optimization by Varying Susceptibility to Persuasion via Non-Convex Local Search	6
Social Group Query Based on Multi-Fuzzy-Constrained Strong Simulation	6
A Robust Reputation-Based Group Ranking System and Its Resistance to Bribery	6
Noise Corrected Sampling of Online Social Networks	6
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection	6
Quality-Informed Process Mining: A Case for Standardised Data Quality Annotations	5

Clustering Heterogeneous Information Network by Joint Graph Embedding and Nonnegative Matrix Factorization	5
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective	5
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location	5
MiSoSouP	5
Dynamically Adjusting Diversity in Ensembles for the Classification of Data Streams with Concept Drift	5
Causal Disentanglement for Implicit Recommendations with Network Information	5
Automatic Recommendation of a Distance Measure for Clustering Algorithms	5
Span-core Decomposition for Temporal Networks	5
A Scalable Redefined Stochastic Blockmodel	5
Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox-based Sampling	5
Forecasting the Market with Machine Learning Algorithms: An Application of NMC-BERT-LSTM-DQN-X Algorithm in Quantitative Trading	5
Joint Transferable Dictionary Learning and View Adaptation for Multi-view Human Action Recognition	5
Adaptive Model Scheduling for Resource-efficient Data Labeling	5
Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation	5
A Unified Framework for Sparse Online Learning	5
ONP-Miner: One-off Negative Sequential Pattern Mining	5
A General Coreset-Based Approach to Diversity Maximization under Matroid Constraints	5
Hierarchical Physician Recommendation via Diversity-enhanced Matrix Factorization	5
Privacy-Preserving Mechanisms for Multi-Label Image Recognition	5
Generating Artificial Outliers in the Absence of Genuine Ones — A Survey	5
Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach	5
Social Collaborative Mutual Learning for Item Recommendation	5
Cross-domain Recommendation with Bridge-Item Embeddings	5
Heterogeneous Network Approach to Predict Individuals’ Mental Health	5
Exploring Deep Reinforcement Learning for Task Dispatching in Autonomous On-Demand Services	5
Better Classifier Calibration for Small Datasets	4
Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint	4
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination	4
Semi-Supervised Ensemble Learning for Dealing with Inaccurate and Incomplete Supervision	4
Fast and Robust Dictionary-based Classification for Image Data	4
Elastic Embedding through Graph Convolution-based Regression for Semi-supervised Classification	4
Integrating Global and Local Feature Selection for Multi-Label Learning	4
Mining Career Paths from Large Resume Databases	4
Trip Reinforcement Recommendation with Graph-based Representation Learning	4
Online Tensor-Based Learning Model for Structural Damage Detection	4
Probabilistic Modeling for Frequency Vectors Using a Flexible Shifted-Scaled Dirichlet Distribution Prior	4
On Modeling Influence Maximization in Social Activity Networks under General Settings	4
Distributed Triangle Approximately Counting Algorithms in Simple Graph Stream	4
Reducing Cumulative Errors of Incremental CP Decomposition in Dynamic Online Social Networks	4
Embedding Heterogeneous Information Network in Hyperbolic Spaces	4
Streaming Data Preprocessing via Online Tensor Recovery for Large Environmental Sensor Networks	4
Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs	4
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering	4
Contrastive Learning Based Graph Convolution Network for Social Recommendation	4
A Survey on Explainable Anomaly Detection	4
Synthesis of Longitudinal Human Location Sequences: Balancing Utility and Privacy	4
Recommending Statutes	4
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization	4
Page-Level Main Content Extraction From Heterogeneous Webpages	4
Explainable Artificial Intelligence-Based Competitive Factor Identification	4
Multi-Concept Representation Learning for Knowledge Graph Completion	4
A Joint Passenger Flow Inference and Path Recommender System for Deploying New Routes and Stations of Mass Transit Transportation	4
Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems	4
Exploiting Higher Order Multi-dimensional Relationships with Self-attention for Author Name Disambiguation	4
SAKE	4
Incremental Community Detection on Large Complex Attributed Network	4
Time-Warped Sparse Non-negative Factorization for Functional Data Analysis	4
Attribute-Guided Network Sampling Mechanisms	4
Hypergraph Transformer Neural Networks	4
CrowdTC: Crowd-powered Learning for Text Classification	4
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation	4
Reinforcement Learning for Practical Express Systems with Mixed Deliveries and Pickups	4
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection	4
Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance	4
Identifying Linear Models in Multi-Resolution Population Data Using Minimum Description Length Principle to Predict Household Income	4
Unsupervised Graph-Based Entity Resolution for Complex Entities	4
Establishing Smartphone User Behavior Model Based on Energy Consumption Data	4
RHPTree—Risk Hierarchical Pattern Tree for Scalable Long Pattern Mining	4
Framework for Inferring Following Strategies from Time Series of Movement Data	4
Combinatorial Algorithms for String Sanitization	4
Online Sampling of Temporal Networks	3
App2Vec: Context-Aware Application Usage Prediction	3
When Less Is More: Systematic Analysis of Cascade-Based Community Detection	3
Detecting Anomalous Graphs in Labeled Multi-Graph Databases	3
Sequential Transform Learning	3
Faster Motif Counting via Succinct Color Coding and Adaptive Sampling	3
Corpus-level and Concept-based Explanations for Interpretable Document Classification	3
Multi-objective Learning to Overcome Catastrophic Forgetting in Time-series Applications	3
Combining Filtering and Cross-Correlation Efficiently for Streaming Time Series	3
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams	3
Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies	3
Segment-Wise Time-Varying Dynamic Bayesian Network with Graph Regularization	3
US-Rule: Discovering Utility-driven Sequential Rules	3
Dynamic Multi-View Graph Neural Networks for Citywide Traffic Inference	3
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering	3
Efficient Node PageRank Improvement via Link-building using Geometric Deep Learning	3
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model	3
Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks	3
Sparse Graph Connectivity for Image Segmentation	3
Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation	3
Crowdsourcing Truth Inference Based on Label Confidence Clustering	3
Fast Connectivity Minimization on Large-Scale Networks	3
Learning Distance Metrics from Probabilistic Information	3
A Normalizing Flow-Based Co-Embedding Model for Attributed Networks	3
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks	3