ACM Transactions on Knowledge Discovery From Data

Article	Citations
OTM : Efficient K-Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs	242
Temporal Structural Preserving with Subtree Attention in Dynamic Graph Transformers	144
Efficient Distributed Sparse Relative Similarity Learning	135
Evaluation-free Time-series Forecasting Model Selection via Meta-learning	100
Graph Time-series Modeling in Deep Learning: A Survey	75
Compression of Deep Learning Models for Text: A Survey	57
App2Vec: Context-Aware Application Usage Prediction	57
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding	55
Subclass-wise Logit Perturbation for Multi-label Learning	55
Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation	50
Multi-View Graph Convolutional Networks with Differentiable Node Selection	46
Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social Networks	44
A Compact Vulnerability Knowledge Graph for Risk Assessment	43
Multi-relation Graph Summarization	42
Nonnegative Matrix Factorization Based on Node Centrality for Community Detection	40
ONP-Miner: One-off Negative Sequential Pattern Mining	37
SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New City	36
Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering	36
Causal Disentanglement for Implicit Recommendations with Network Information	35
Summarizing User-item Matrix By Group Utility Maximization	30
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains	29
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search	29
Causal Discovery via Causal Star Graphs	28
Three-way Preference Completion via Preference Graph	27
Accurate Open-Set Recognition for Memory Workload	26

Conditional Independence Test Based on Residual Similarity	25
Same or Different? Diff-Vectors for Authorship Analysis	25
Computing Graph Descriptors on Edge Streams	25
Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies	25
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization	25
DMGF-Net: An Efficient Dynamic Multi-Graph Fusion Network for Traffic Prediction	25
An Information Theory Based Method for Quantifying the Predictability of Human Mobility	23
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization	23
Self-supervision for Tabular Data by Learning to Predict Additive Homoskedastic Gaussian Noise as Pretext	23
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation	22
Exploiting Conversation-Branch-Tweet HyperGraph Structure to Detect Misinformation on Social Media	22
A Survey on Bid Optimization in Real-Time Bidding Display Advertising	21
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series	21
Parameter-Agnostic Deep Graph Clustering	21
HITS-based Propagation Paradigm for Graph Neural Networks	20
Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning	20
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors	20
Put Your Voice on Stage: Personalized Headline Generation for News Articles	20
A Survey on AutoML Methods and Systems for Clustering	19
Math Word Problem Generation via Disentangled Memory Retrieval	19
Domain Generalization in Time Series Forecasting	19
X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining	19
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks	18
TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model	18
DP-GCN: Node Classification by Connectivity and Local Topology Structure on Real-World Network	18
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information	18
Local Community Detection in Multiple Private Networks	17
SsAG : Summarization and Sparsification of Attributed Graphs	17
FETILDA: Evaluation Framework for Effective Representations of Long Financial Documents	17
A Survey of Trustworthy Representation Learning Across Domains	16
Billiards Sports Analytics: Datasets and Tasks	16
Learning Individual Treatment Effects under Heterogeneous Interference in Networks	16
Toward Cross-Lingual Social Event Detection with Hybrid Knowledge Distillation	16
Dual Homogeneity Hypergraph Motifs with Cross-view Contrastive Learning for Multiple Social Recommendations	16
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder	16
Margin-aware Noise-robust Contrastive Learning for Partially View-aligned Problem	15
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation	15
STORM: A MapReduce Framework for Symbolic Time Intervals Series Classification	15
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios	15
Efficient GNN Explanation via Learning Removal-based Attribution	15
PREFER: A Pre-trained Model Recommendation Framework for Edge Computing Enabled Traffic Flow Prediction	14
Heterogeneous Network Approach to Predict Individuals’ Mental Health	14
Exploring Deep Reinforcement Learning for Task Dispatching in Autonomous On-Demand Services	14
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams	14
Exploiting Temporal Dynamics in Product Reviews for Dynamic Sentiment Prediction at the Aspect Level	14
Optimal Algebraic Breadth-First Search for Sparse Graphs	14
Tiered Sampling	14
Recurrent Coupled Topic Modeling over Sequential Documents	14
Density Guarantee on Finding Multiple Subgraphs and Subtensors	14
S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification	13

A Joint Passenger Flow Inference and Path Recommender System for Deploying New Routes and Stations of Mass Transit Transportation	13
Learning Graph Neural Networks with Positive and Unlabeled Nodes	13
Wealth Flow Model: Online Portfolio Selection Based on Learning Wealth Flow Matrices	13
Multi-objective Cuckoo Search-based Streaming Feature Selection for Multi-label Dataset	13
Explainable Artificial Intelligence-Based Competitive Factor Identification	13
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach	13
Predicting Influential Users in Online Social Network Groups	13
Graph Community Infomax	13
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation	13
sGrapp: Butterfly Approximation in Streaming Graphs	12
Toward Quality of Information Aware Distributed Machine Learning	12
Detecting Anomalous Graphs in Labeled Multi-Graph Databases	12
Learnable Graph-Regularization for Matrix Decomposition	12
When Less Is More: Systematic Analysis of Cascade-Based Community Detection	12
Community Detection in Partially Observable Social Networks	12
Trip Reinforcement Recommendation with Graph-based Representation Learning	12
Intelligent Data Analysis using Optimized Support Vector Machine Based Data Mining Approach for Tourism Industry	12
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships	12
On the Robustness of Metric Learning: An Adversarial Perspective	11
Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting	11
Segment-Wise Time-Varying Dynamic Bayesian Network with Graph Regularization	11
A Method for Mining Granger Causality Relationship on Atmospheric Visibility	11
A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection	11
A Simple Data Augmentation for Graph Classification: A Perspective of Equivariance and Invariance	11
Discovering Interesting Patterns from Hypergraphs	11
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series	11
Multi-Label and Evolvable Dataset Preparation for Web-Based Object Detection	11
Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks	11
BiLabel-Specific Features for Multi-Label Classification	11
Deep Graph Matching and Searching for Semantic Code Retrieval	10
CM-CaFE: A Clustering Method with Causality-based Feature Embedding	10
ABLE: Meta-Path Prediction in Heterogeneous Information Networks	10
Unsupervised Graph-Based Entity Resolution for Complex Entities	10
Structure-Information-Based Reasoning over the Knowledge Graph: A Survey of Methods and Applications	10
Community-Based Influence Maximization Using Network Embedding in Dynamic Heterogeneous Social Networks	10
Graph Neural Networks for Fast Node Ranking Approximation	10
Gradual Drift Detection in Process Models Using Conformance Metrics	10
Triadic Closure Sensitive Influence Maximization	10
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment	10
Graph Domain Adaptation: A Generative View	9
Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks	9
Attribute-Guided Network Sampling Mechanisms	9
Assessing Large-Scale Power Relations among Locations from Mobility Data	9
StructCoder: Structure-Aware Transformer for Code Generation	9
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey	9
Random Walk Sampling in Social Networks Involving Private Nodes	9
A Multisource Data Fusion-based Heterogeneous Graph Attention Network for Competitor Prediction	9
Nonlinear Correct and Smooth for Graph-Based Semi-Supervised Learning	9
SED2AM: Solving Multi-Trip Time-Dependent Vehicle Routing Problem using Deep Reinforcement Learning	9
Toward Understanding and Evaluating Structural Node Embeddings	9
NNC-GCN: Neighbours-to-Neighbours Contrastive Graph Convolutional Network for Semi-Supervised Classification	9
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization	9
A Semantics-enhanced Topic Modelling Technique: Semantic-LDA	9
Time Series Classification with Elasticity Using Augmented Path Signatures	9
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation	9
Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention	9
Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model	9
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning	9
Semi-Supervised Ensemble Learning for Dealing with Inaccurate and Incomplete Supervision	8
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment	8
Multi-Label Quantification	8
Transfer Learning across Graph Convolutional Networks: Methods, Theory, and Applications	8
Real-Time Anomaly Detection in Edge Streams	8
Unsupervised Adversarial Network Alignment with Reinforcement Learning	8
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks	8
DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation	8
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning	8
Similarity Embedding Networks for Robust Human Activity Recognition	8
STAD-GAN: Unsupervised Anomaly Detection on Multivariate Time Series with Self-training Generative Adversarial Networks	8
MA-GCL4SR: Improving Graph Contrastive Learning-Based Sequential Recommendation with Model Augmentation	8
Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs	8
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation	8
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling	7
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness	7
Distributed Pseudo-Likelihood Method for Community Detection in Large-Scale Networks	7
On the Value of Head Labels in Multi-Label Text Classification	7
Mining Top-k High On-shelf Utility Itemsets Using Novel Threshold Raising Strategies	7
Local Overlapping Spatial-aware Community Detection	7
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning	7
Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We?	7

Mixed Graph Contrastive Network for Semi-supervised Node Classification	7
Utility-Oriented Reranking with Counterfactual Context	7
Swarm Self-supervised Hypergraph Embedding for Recommendation	7
Information-aware Multi-view Outlier Detection	7
Intricate Spatiotemporal Dependency Learning for Temporal Knowledge Graph Reasoning	7
Incorporating Multi-Level Sampling with Adaptive Aggregation for Inductive Knowledge Graph Completion	7
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search	7
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training	7
ID-SR: Privacy-Preserving Social Recommendation Based on Infinite Divisibility for Trustworthy AI	7
Distributional Learning for Network Alignment with Global Constraints	7
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification	6
Computer Science Diagram Understanding with Topology Parsing	6
Multi-objective Learning to Overcome Catastrophic Forgetting in Time-series Applications	6
Privacy-Preserving Mechanisms for Multi-Label Image Recognition	6
Factor-Bounded Nonnegative Matrix Factorization	6
Learning Knowledge-diverse Experts for Long-tailed Graph Classification	6
Question Embedding on Weighted Heterogeneous Information Network for Knowledge Tracing	6
GeoGail: A Model-Based Imitation Learning Framework for Human Trajectory Synthesizing	6
Learning Sentence-to-Hashtags Semantic Mapping for Hashtag Recommendation on Microblogs	6
Explainable Integration of Social Media Background in a Dynamic Neural Recommender	6
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model	6
Context-Aware Semantic Annotation of Mobility Records	6
Online Sampling of Temporal Networks	6
Social Group Query Based on Multi-Fuzzy-Constrained Strong Simulation	6
Network Embedding on Hierarchical Community Structure Network	6
Bayesian Additive Matrix Approximation for Social Recommendation	6
Efficient Latent-based Scoring Function Search for N-ary Relational Knowledge Bases	6
Measuring the Network Vulnerability Based on Markov Criticality	6
KRAN: Knowledge Refining Attention Network for Recommendation	6
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond	6
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition	6
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction	6
A Robust Reputation-Based Group Ranking System and Its Resistance to Bribery	6
Adaptive Model Scheduling for Resource-efficient Data Labeling	6
TipTap: Approximate Mining of Frequent k -Subgraph Patterns in Evolving Graphs	6
FINEST : Stabilizing Recommendations by Rank-Preserving Fine-Tuning	6
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification	6
Structure Diversity-Induced Anchor Graph Fusion for Multi-View Clustering	5
Hypergraph Transformer Neural Networks	5
Computing Random Forest-distances in the presence of missing data	5
Enhanced Fuzzy Clustering for Incomplete Instance with Evidence Combination	5
Fair Federated Learning with Multi-Objective Hyperparameter Optimization	5
Graph Representation Learning Enhanced Semi-Supervised Feature Selection	5
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location	5
Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification	5
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks	5
Efficient Node PageRank Improvement via Link-building using Geometric Deep Learning	5
Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition	5
Review of Clustering Methods for Functional Data	5
Kernel Fisher Dictionary Transfer Learning	5
Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances	5
Improving Bandit Learning Via Heterogeneous Information Networks: Algorithms and Applications	5
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks	5
Interpretable Embedding and Visualization of Compressed Data	5
Mixed Information Flow for Cross-Domain Sequential Recommendations	5
On Equivalence of Anomaly Detection Algorithms	5
Combining Filtering and Cross-Correlation Efficiently for Streaming Time Series	5
Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection	5
A Survey on Explainable Anomaly Detection	5
Modeling Long- and Short-Term User Preferences via Self-Supervised Learning for Next POI Recommendation	5
Causal Discovery Using Weight-Based Conditional Independence Test	5
Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback	5
Incremental Feature Spaces Learning with Label Scarcity	5
Uncovering the Local Hidden Community Structure in Social Networks	5
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD	5
Attacking Social Media via Behavior Poisoning	4
Efficient Version Space Algorithms for Human-in-the-loop Model Development	4
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network	4
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing	4
Towards Robust Rumor Detection with Graph Contrastive and Curriculum Learning	4
FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling	4
Node Embedding Preserving Graph Summarization	4
Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification	4
Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data	4
Multi-Label Feature Selection Via Adaptive Label Correlation Estimation	4
TaSPM: Targeted Sequential Pattern Mining	4
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning	4
Mobility Prediction via Rule-enhanced Knowledge Graph	4
Data Completion-Guided Unified Graph Learning for Incomplete Multi-View Clustering	4
Imbalance-Robust Multi-Label Self-Adjusting kNN	4
MoMENt: Marked Point Processes with Memory-Enhanced Neural Networks for User Activity Modeling	4
diGRASS: Di rected Gra ph S pectral S parsification via Spectrum-Preserving	4
Representative and Back-In-Time Sampling from Real-world Hypergraphs	4
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification	4
Similarity Metrics: Chebyshev Coulomb Force and Resultant Force for High Dimensional Data	4
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey	4
Distributed Cooperative Coevolution of Data Publishing Privacy and Transparency	4
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation	4
Heterogeneous Meta-Path Graph Learning for Higher-Order Social Recommendation	4
On Mean-Optimal Robust Linear Discriminant Analysis	4
Subspace-Contrastive Multi-View Clustering	4
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System	4
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer	4
Privacy-Preserving Non-Negative Matrix Factorization with Outliers	4
Dual-MGAN: An Efficient Approach for Semi-supervised Outlier Detection with Few Identified Anomalies	4