ACM Transactions on Knowledge Discovery From Data

Article	Citations
Knowledge Graph Embedding for Link Prediction	264
A Survey on Causal Inference	189
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution	84
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks	66
A Survey on Deep Hashing Methods	59
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond	52
Neural Networks for Entity Matching: A Survey	50
A Unified View of Causal and Non-causal Feature Selection	45
Deep Graph Matching and Searching for Semantic Code Retrieval	44
Trajectory Outlier Detection	40
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series	38
Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances	36
Compression of Deep Learning Models for Text: A Survey	36
An Improved KNN-Based Efficient Log Anomaly Detection Method with Automatically Labeled Samples	33
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification	32
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning	31
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey	28
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction	27
Graph Neural Networks for Fast Node Ranking Approximation	27
High-Order Structure Exploration on Massive Graphs	26
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis	26
Be Causal: De-Biasing Social Network Confounding in Recommendation	25
User Embedding for Expert Finding in Community Question Answering	24
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation	24
Mixed Information Flow for Cross-Domain Sequential Recommendations	24

Adaptive Influence Maximization	24
Learning Graph Neural Networks with Positive and Unlabeled Nodes	24
Measuring the Network Vulnerability Based on Markov Criticality	23
Graph Neural News Recommendation with User Existing and Potential Interest Modeling	22
Probability Ordinal-Preserving Semantic Hashing for Large-Scale Image Retrieval	21
Nested Named Entity Recognition: A Survey	21
Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting	19
A Method for Mining Granger Causality Relationship on Atmospheric Visibility	19
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining	18
Factor-Bounded Nonnegative Matrix Factorization	18
Multi-objective Cuckoo Search-based Streaming Feature Selection for Multi-label Dataset	18
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data	18
Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network	18
Community Detection in Partially Observable Social Networks	18
Exploring BCI Control in Smart Environments	18
Robust Tensor Recovery with Fiber Outliers for Traffic Events	18
Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model	18
Trust Prediction for Online Social Networks with Integrated Time-Aware Similarity	17
STAD-GAN: Unsupervised Anomaly Detection on Multivariate Time Series with Self-training Generative Adversarial Networks	17
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning	17
Jointly Modeling Spatio–Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction	17
Utility Mining Across Multi-Dimensional Sequences	16
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting	16
MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble	16
TPmod: A Tendency-Guided Prediction Model for Temporal Knowledge Graph Completion	16
A Survey on Explainable Anomaly Detection	16
Causal Feature Selection with Missing Data	15
Predicting Influential Users in Online Social Network Groups	15
Distributed Cooperative Coevolution of Data Publishing Privacy and Transparency	15
Improved Customer Lifetime Value Prediction With Sequence-To-Sequence Learning and Feature-Based Models	15
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination	15
Parallel Greedy Algorithm to Multiple Influence Maximization in Social Network	14
sGrapp: Butterfly Approximation in Streaming Graphs	14
ARIS: A Noise Insensitive Data Pre-Processing Scheme for Data Reduction Using Influence Space	14
Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering	14
HARP	14
Attributed Network Embedding with Micro-Meso Structure	13
MBN: Towards Multi-Behavior Sequence Modeling for Next Basket Recommendation	13
3E-LDA	13
DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation	13
ABLE: Meta-Path Prediction in Heterogeneous Information Networks	13
Unbiased Measurement of Feature Importance in Tree-Based Methods	13
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data	13
SIR-GN: A Fast Structural Iterative Representation Learning Approach For Graph Nodes	12
Learning Sentence-to-Hashtags Semantic Mapping for Hashtag Recommendation on Microblogs	12
Core Interest Network for Click-Through Rate Prediction	12
HW-Forest: Deep Forest with Hashing Screening and Window Screening	12
On-Shelf Utility Mining of Sequence Data	12
Anomaly Detection With Kernel Preserving Embedding	12
Network Embedding via Motifs	11

Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation	11
An Instance Space Analysis of Regression Problems	11
Exploiting Temporal Dynamics in Product Reviews for Dynamic Sentiment Prediction at the Aspect Level	11
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation	11
Class Imbalance and Cost-Sensitive Decision Trees	11
Real-Time Anomaly Detection in Edge Streams	11
Mining Largest Maximal Quasi-Cliques	11
L2MM: Learning to Map Matching with Deep Models for Low-Quality GPS Trajectory Data	11
Toward Understanding and Evaluating Structural Node Embeddings	11
BiLabel-Specific Features for Multi-Label Classification	11
Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social Networks	10
Side Information Fusion for Recommender Systems over Heterogeneous Information Network	10
Graph-Based Stock Recommendation by Time-Aware Relational Attention Network	10
Multi-Label Feature Selection Via Adaptive Label Correlation Estimation	10
Multi-relation Graph Summarization	10
GrOD : Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training	10
Online Scalable Streaming Feature Selection via Dynamic Decision	10
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition	10
Heterogeneous Graphlets	10
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency	10
Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams	10
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering	10
Unsupervised Adversarial Network Alignment with Reinforcement Learning	10
Lost in Transduction: Transductive Transfer Learning in Text Classification	9
A Stochastic Algorithm Based on Reverse Sampling Technique to Fight Against the Cyberbullying	9
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning	9
Stacked Convolutional Sparse Auto-Encoders for Representation Learning	9
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization	9
HCBST: An Efficient Hybrid Sampling Technique for Class Imbalance Problems	9
Quality-Informed Process Mining: A Case for Standardised Data Quality Annotations	9
Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction	9
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing	9
App2Vec: Context-Aware Application Usage Prediction	9
Span-core Decomposition for Temporal Networks	9
Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction	9
Clustering Heterogeneous Information Network by Joint Graph Embedding and Nonnegative Matrix Factorization	9
Dual-Embedding based Deep Latent Factor Models for Recommendation	9
Hypergraph Transformer Neural Networks	9
ONP-Miner: One-off Negative Sequential Pattern Mining	9
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection	8
Link Recommendation for Social Influence Maximization	8
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics	8
Robust Image Representation via Low Rank Locality Preserving Projection	8
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction	8
Review of Clustering Methods for Functional Data	8
Dynamically Adjusting Diversity in Ensembles for the Classification of Data Streams with Concept Drift	8
Network Public Opinion Detection During the Coronavirus Pandemic: A Short-Text Relational Topic Model	8
Dynamic Multi-View Graph Neural Networks for Citywide Traffic Inference	8
Critique on Natural Noise in Recommender Systems	8
Social Group Query Based on Multi-Fuzzy-Constrained Strong Simulation	8
Discovering Interesting Patterns from Hypergraphs	8
Explainability-Based Mix-Up Approach for Text Data Augmentation	8
Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints	8
Exploiting Higher Order Multi-dimensional Relationships with Self-attention for Author Name Disambiguation	8
Profile Decomposition Based Hybrid Transfer Learning for Cold-Start Data Anomaly Detection	8
Joint Transferable Dictionary Learning and View Adaptation for Multi-view Human Action Recognition	8
Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach	7
GRACE: A General Graph Convolution Framework for Attributed Graph Clustering	7
Multi-View Collaborative Network Embedding	7
Noise Corrected Sampling of Online Social Networks	7
TipTap: Approximate Mining of Frequent k -Subgraph Patterns in Evolving Graphs	7
Trip Reinforcement Recommendation with Graph-based Representation Learning	7
Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation	7
Hierarchical Physician Recommendation via Diversity-enhanced Matrix Factorization	7
CrowdWT	7
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation	7
Causal Disentanglement for Implicit Recommendations with Network Information	7
Opinion Dynamics Optimization by Varying Susceptibility to Persuasion via Non-Convex Local Search	7
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks	7
KRAN: Knowledge Refining Attention Network for Recommendation	7
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location	7
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection	7
Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through ( k , ?)-Core based Embedding	6
Fast and Robust Dictionary-based Classification for Image Data	6
Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling	6
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting	6
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths	6
Variational Graph Autoencoder with Adversarial Mutual Information Learning for Network Representation Learning	6
Generating Artificial Outliers in the Absence of Genuine Ones — A Survey	6
A Robust Reputation-Based Group Ranking System and Its Resistance to Bribery	6

Exploring Deep Reinforcement Learning for Task Dispatching in Autonomous On-Demand Services	6
Contrastive Learning Based Graph Convolution Network for Social Recommendation	6
Static and Streaming Tucker Decomposition for Dense Tensors	6
Multi-Concept Representation Learning for Knowledge Graph Completion	6
Neighborhood Weighted Voting-Based Noise Correction for Crowdsourcing	6
Crowdsourcing Truth Inference Based on Label Confidence Clustering	6
Forecasting the Market with Machine Learning Algorithms: An Application of NMC-BERT-LSTM-DQN-X Algorithm in Quantitative Trading	6
Privacy-Preserving Mechanisms for Multi-Label Image Recognition	6
Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies	6
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting	6
Integrating Global and Local Feature Selection for Multi-Label Learning	6
Reinforcement Learning for Practical Express Systems with Mixed Deliveries and Pickups	6
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization	6
Cross-domain Recommendation with Bridge-Item Embeddings	6
Incremental Community Detection on Large Complex Attributed Network	6
Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox-based Sampling	6
Adaptive Model Scheduling for Resource-efficient Data Labeling	6
Intelligent Data Analysis using Optimized Support Vector Machine Based Data Mining Approach for Tourism Industry	6