yusuke1997/dblp-id-title huggingface dataset:
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network
Classification in P2P networks with cascade support vector machines
Information Diffusion Prediction with Network Regularized Role-based User Representation Learning
Digital Twin Enhanced Multi-Agent Reinforcement Learning for Large-Scale Mobile Network Coverage Optimization
Triadic Closure Sensitive Influence Maximization
Unsupervised Adversarial Network Alignment with Reinforcement Learning
Parameter-Agnostic Deep Graph Clustering
Constant Time Graph Neural Networks
Causal Disentanglement for Implicit Recommendations with Network Information
Domain Generalization in Time Series Forecasting
A Survey of Parallel Sequential Pattern Mining
Edge2vec: Edge-based Social Network Embedding
PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks
Do Anesthesiologists Know What They Are Doing? Mining a Surgical Time-Series Database to Correlate Expert Assessment with Outcomes
SED2AM: Solving Multi-Trip Time-Dependent Vehicle Routing Problem Using Deep Reinforcement Learning
Learning Entangled Interactions of Complex Causality via Self-Paced Contrastive Learning
Adversarial Attacks on Graph Neural Networks: Perturbations and their Patterns
Toward Cross-Lingual Social Event Detection with Hybrid Knowledge Distillation
Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network
Substantial improvements in the set-covering projection classifier CHIRP (composite hypercubes on iterated random projections)
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
Fairness-Aware Graph Neural Networks: A Survey
Unsupervised Rare Pattern Mining: A Survey
Static and Streaming Tucker Decomposition for Dense Tensors
Understanding User Perspectives for MOOC Quality Evaluation with Hypergraph Learning
A Systematic Study and Analysis of Graph Neural Networks under Noise
Prioritized Relationship Analysis in Heterogeneous Information Networks
Time Series Classification with HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization
Formal and computational properties of the confidence boost of association rules
Introduction to the Special Issue ACM SIGKDD 2013
Event Analytics via Discriminant Tensor Factorization
Generation-based Multi-view Contrast for Self-supervised Graph Representation Learning
FETILDA: Evaluation Framework for Effective Representations of Long Financial Documents
Urban Knowledge Graph Aided Mobile User Profiling
RIC: Parameter-free noise-robust clustering
Predicting Influential Users in Online Social Network Groups
Improving Graph Collaborative Filtering with Directional Behavior Enhanced Contrastive Learning
Improved Customer Lifetime Value Prediction With Sequence-To-Sequence Learning and Feature-Based Models
GTΔ: Detecting Temporal Changes in Group Stochastic Processes
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD
Structural Properties on Scale-Free Tree Network with an Ultra-Large Diameter
Concept Drift Adaptation by Exploiting Drift Type
Hypergraph-Enhanced Multi-Granularity Stochastic Weight Completion in Sparse Road Networks
FiFrauD: Unsupervised Financial Fraud Detection in Dynamic Graph Streams
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series
Uncovering the Local Hidden Community Structure in Social Networks
MEGA: Meta-Graph Augmented Pre-Training Model for Knowledge Graph Completion
Embedding Heterogeneous Information Network in Hyperbolic Spaces
Towards Robust Rumor Detection with Graph Contrastive and Curriculum Learning
Mining User Development Signals for Online Community Churner Detection
DWE-Med: Dynamic Word Embeddings for Medical Domain
Gradual Drift Detection in Process Models Using Conformance Metrics
Robust Image Representation via Low Rank Locality Preserving Projection
ABLE: Meta-Path Prediction in Heterogeneous Information Networks
A Review on OLAP Technologies Applied to Information Networks
DuCape: Dual Quaternion and Capsule Network-Based Temporal Knowledge Graph Embedding
Multi-View Graph Convolutional Networks with Differentiable Node Selection
Efficient Generation of Hidden Outliers for Improved Outlier Detection
ONP-Miner: One-off Negative Sequential Pattern Mining
Efficient GNN Explanation via Learning Removal-based Attribution
Designing Size Consistent Statistics for Accurate Anomaly Detection in Dynamic Networks
Network Embedding for Community Detection in Attributed Networks
Community Detection Using Diffusion Information
Author name disambiguation in MEDLINE
Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery
Neighborhood Weighted Voting-Based Noise Correction for Crowdsourcing
VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach
Occupancy-Based Frequent Pattern Mining *
A Normalizing Flow-Based Co-Embedding Model for Attributed Networks
DeltaCon: Principled Massive-Graph Similarity Function with Attribution
Self-attentive Rationalization for Interpretable Graph Contrastive Learning
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
Introduction to special issue ACM SIGKDD 2006
Can the Utility of Anonymized Data be Used for Privacy Breaches?
Probability Ordinal-Preserving Semantic Hashing for Large-Scale Image Retrieval
Graph Deep Factors for Probabilistic Time-series Forecasting
Understanding the Robustness of Deep Recommendation under Adversarial Attacks
MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes
Jointly Modeling Spatio-Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction
Semi-Supervised Heterogeneous Graph Learning with Multi-Level Data Augmentation
An Improved KNN-Based Efficient Log Anomaly Detection Method with Automatically Labeled Samples
A Sequential Sampling Framework for Spectral k-Means Based on Efficient Bootstrap Accuracy Estimations: Application to Distributed Clustering
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Mobility Prediction via Rule-enhanced Knowledge Graph
Relative Entropy-based Regularized Non-negative Matrix Factorization for Attributed Graph Clustering
Weakly Supervised Open-Domain Aspect-Based Sentiment Analysis
Establishing Smartphone User Behavior Model Based on Energy Consumption Data
Dual Homogeneity Hypergraph Motifs with Cross-view Contrastive Learning for Multiple Social Recommendations
A Survey of Trustworthy Representation Learning Across Domains
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining
Privacy-Preserving Non-Negative Matrix Factorization with Outliers
Modeling On-road Trajectories with Multi-task Learning
Density-based clustering of data streams at multiple resolutions
Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social Networks
On disclosure risk analysis of anonymized itemsets in the presence of prior knowledge
Utility-aware Privacy Perturbation for Training Data
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction
Discovering Knowledge-Sharing Communities in Question-Answering Forums
nSimplex Zen : A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces
Momentum-Accelerated and Biased Unconstrained Non-Negative Latent Factor Model for Handling High-Dimensional and Incomplete Data
Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout
Data Stream Evolution Diagnosis Using Recursive Wavelet Density Estimators
Server-Client Collaborative Distillation for Federated Reinforcement Learning
Nested Named Entity Recognition: A Survey
Learnable Graph-Regularization for Matrix Decomposition
Measuring Temporal Patterns in Dynamic Social Networks
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search
MA-GCL4SR: Improving Graph Contrastive Learning-Based Sequential Recommendation with Model Augmentation
3E-LDA: Three Enhancements to Linear Discriminant Analysis
Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts
Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks
Multi-Instance Learning with One Side Label Noise
Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis, and Inference
Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data
Causality-Based Fair Multiple Decision by Response Functions
Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning
Factor-Bounded Nonnegative Matrix Factorization
Billiards Sports Analytics: Datasets and Tasks
A Unified View of Causal and Non-causal Feature Selection
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos
Summarizing data succinctly with the most informative itemsets
Social Group Query Based on Multi-Fuzzy-Constrained Strong Simulation
Algorithms for Online Influencer Marketing
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification
Convolutional Network Integrated with Frequency Adaptive Learning for Multivariate Time Series Classification
Connecting Two (or Less) Dots: Discovering Structure in News Articles
Put Your Voice on Stage: Personalized Headline Generation for News Articles
Scalable Spatial Scan Statistics for Trajectories
A Semantics-enhanced Topic Modelling Technique: Semantic-LDA
Accurate Open-Set Recognition for Memory Workload
Sparse Grid Imputation Using Unpaired Imprecise Auxiliary Data: Theory and Application to PM2.5 Estimation
Transfer Learning across Graph Convolutional Networks: Methods, Theory, and Applications
Recurrent Coupled Topic Modeling over Sequential Documents
SA2E-AD: A Stacked Attention Autoencoder for Anomaly Detection in Multivariate Time Series
Differentially Private Release of Heterogeneous Network for Managing Healthcare Data
Social Network Monitoring for Bursty Cascade Detection
Robust Influence Maximization Under Both Aleatory and Epistemic Uncertainty
Attacking Click-through Rate Predictors via Generating Realistic Fake Samples
Attribute-Guided Network Sampling Mechanisms
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
Fast Approximate Score Computation on Large-Scale Distributed Data for Learning Multinomial Bayesian Networks
On domination game analysis for microeconomic data mining
Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback
Permanence and Community Structure in Complex Networks
A Unified Framework for Sparse Online Learning
Taxonomy and Evaluation for Microblog Popularity Prediction
Stability and Robustness in Influence Maximization
Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance
Multi-Grained Spatial-Temporal Feature Complementarity for Accurate Online Cellular Traffic Prediction
ParCube: Sparse Parallelizable CANDECOMP-PARAFAC Tensor Decomposition
A Lightweight, Effective, and Efficient Model for Label Aggregation in Crowdsourcing
Modeling Users' Curiosity in Recommender Systems
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
ORIC V2: Improved Feature Interaction Detection Model through Online Random Interaction Chains for Click-Through Rate Prediction
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
Leveraging Label-Specific Discriminant Mapping Features for Multi-Label Learning
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation
Search Efficient Binary Network Embedding
Conditional Independence Test Based on Residual Similarity
Introduction to Special Issue on the Best Papers from KDD 2016
Understanding Any Time Series Classifier with a Subsequence-based Explainer
Parallel Greedy Algorithm to Multiple Influence Maximization in Social Network
EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection
TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks
Large-Scale Adversarial Sports Play Retrieval with Learning to Rank
Combining Structured Node Content and Topology Information for Networked Graph Clustering
Neighbor-Enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks
A Randomized Rounding Algorithm for Sparse PCA
Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting
Mining multidimensional and multilevel sequential patterns
Social Behavior Analysis in Exclusive Enterprise Social Networks by FastHAND
Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach
TKDD Special Issue SIGKDD 2009
Network Embedding via Motifs
MCS+: An Efficient Algorithm for Crawling the Community Structure in Multiplex Networks
Exploiting Higher Order Multi-dimensional Relationships with Self-attention for Author Name Disambiguation
Analyzing knowledge communities using foreground and background clusters
Machine Learning-based Short-term Rainfall Prediction from Sky Data
ONION: Joint Unsupervised Feature Selection and Robust Subspace Extraction for Graph-based Multi-View Clustering
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency
Behavior2Vec: Generating Distributed Representations of Users' Behaviors on Products for Recommender Systems
Incorporating Multi-Level Sampling with Adaptive Aggregation for Inductive Knowledge Graph Completion
Treatment Effect Estimation via Differentiated Confounder Balancing and Regression
A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs
FGTL: Federated Graph Transfer Learning for Node Classification
On Dynamically Pricing Crowdsourcing Tasks
Computer Science Diagram Understanding with Topology Parsing
Network Public Opinion Detection During the Coronavirus Pandemic: A Short-Text Relational Topic Model
Maximizing the Diversity of Exposure in Online Social Networks by Identifying Users with Increased Susceptibility to Persuasion
C 3 -GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding
Reflect and correct: A misclassification prediction approach to active inference
CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors
Multi-objective Cuckoo Search-based Streaming Feature Selection for Multi-label Dataset
Graph Neural News Recommendation with User Existing and Potential Interest Modeling
An Efficient Aggregation Method for the Symbolic Representation of Temporal Data
A Dual Perspective Framework of Knowledge-correlation for Cross-domain Recommendation
Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering
Product Selection Problem: Improve Market Share by Learning Consumer Behavior
New Multi-View Classification Method with Uncertain Data
Discovering Interesting Patterns from Hypergraphs
Graph Manipulations for Fast Centrality Computation
Employing Semantic Context for Sparse Information Extraction Assessment
Fair Single Index Model
BapFL: You can Backdoor Personalized Federated Learning
Multilabel relationship learning
Introduction to special issue on computational aspects of social and information networks: Theory, methodologies, and applications (TKDD-CASIN)
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation
Exploiting Viral Marketing for Location Promotion in Location-Based Social Networks
Online Learning from Mix-typed, Drifted, and Incomplete Streaming Features
Twitter Geolocation: A Hybrid Approach
Balancing Prediction Errors for Robust Sentiment Classification
Internal Evaluation of Unsupervised Outlier Detection
Toward Few-Label Vertical Federated Learning
Performance Bounds of Decentralized Search in Expert Networks for Query Answering
Probabilistic Reframing for Cost-Sensitive Regression
Voxel-Wise Medical Image Generalization for Eliminating Distribution Shift
GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patterns
Clustering Large Attributed Graphs: A Balance between Structural and Attribute Similarities
Nonlinear Correct and Smooth for Graph-Based Semi-Supervised Learning
Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation
A separability framework for analyzing community structure
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph
Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios
Multiple-instance Learning from Triplet Comparison Bags
Causal Discovery Using Weight-Based Conditional Independence Test
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring
On the Impact of Voice Encoding and Transmission on the Predictions of Speaker Warmth and Attractiveness
Representative and Back-In-Time Sampling from Real-world Hypergraphs
Integrating Global and Local Feature Selection for Multi-Label Learning
Chromatic Correlation Clustering
Factor in the neighbors: Scalable and accurate collaborative filtering
SE-GCL: A Semantic-Enhanced Graph Contrastive Learning Framework for Road Network Embedding
Corrigendum: Diffusion Models for Tabular Data Imputation and Synthetic Data Generation
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction
PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records
Online Tensor-Based Learning Model for Structural Damage Detection
Bellwether analysis: Searching for cost-effective query-defined predictors in large databases
Physics-Based Anomaly Detection Defined on Manifold Space
Balancing Fairness and Accuracy in Data-Restricted Binary Classification
Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies
Finding Subgraphs with Maximum Total Density and Limited Overlap in Weighted Hypergraphs
A clustering framework based on subjective and objective validity criteria
Adaptive Influence Maximization: If Influential Node Unwilling to Be the Seed
Discovering Information Propagation Patterns in Microblogging Services
Discovering semantic biomedical relations utilizing the Web
Real-Time Large-Scale Map Matching Using Mobile Phone Data
Generating Artificial Outliers in the Absence of Genuine Ones - A Survey
A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models
Hierarchical Physician Recommendation via Diversity-enhanced Matrix Factorization
Community Detection by Motif-Aware Label Propagation
Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation
PREFER: A Pre-trained Model Recommendation Framework for Edge Computing Enabled Traffic Flow Prediction
A Viewable Indexing Structure for the Interactive Exploration of Dynamic and Large Image Collections
Imbalance-Robust Multi-Label Self-Adjusting kNN
Multisource domain adaptation and its application to early detection of fatigue
Graph evolution: Densification and shrinking diameters
Unsupervised Subspace Extraction via Deep Kernelized Clustering
Robust Manifold Nonnegative Matrix Factorization
Modeling Location-Based User Rating Profiles for Personalized Recommendation
Assessing Large-Scale Power Relations among Locations from Mobility Data
ID-SR: Privacy-Preserving Social Recommendation Based on Infinite Divisibility for Trustworthy AI
Mining for Topics to Suggest Knowledge Model Extensions
Introduction to special issue on bioinformatics
Structure Amplification on Multi-layer Stochastic Block Models
Learning Knowledge-diverse Experts for Long-tailed Graph Classification
Motif discovery in physiological datasets: A methodology for inferring predictive elements
A Propagation Model of Derived Topic Based on Cognitive Accumulation and Transfer Learning
Robust Spectral Ensemble Clustering via Rank Minimization
Profile Decomposition Based Hybrid Transfer Learning for Cold-Start Data Anomaly Detection
Modeling Social Annotation: A Bayesian Approach
Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification
From Asset Flow to Status, Action, and Intention Discovery: Early Malice Detection in Cryptocurrency
Incomplete Network Alignment: Problem Definitions and Fast Solutions
CausalSE: Understanding Varied Spatial Effects with Missing Data Toward Adding New Bike-sharing Stations
Data-Aware Vaccine Allocation Over Large Networks
Learning Individual Treatment Effects under Heterogeneous Interference in Networks
Hypergraph Transformer Neural Networks
Learning Bayesian Networks with the Saiyan Algorithm
DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation
A Comprehensive Understanding of the Impact of Data Augmentation on the Transferability of 3D Adversarial Examples
MultiGraphMatch: A Subgraph Matching Algorithm for Multigraphs
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks
Socializing by Gaming: Revealing Social Relationships in Multiplayer Online Games
Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions
FrauDetector + : An Incremental Graph-Mining Approach for Efficient Fraudulent Phone Call Detection
Better Classifier Calibration for Small Datasets
Online Sampling of Temporal Networks
Graph-based Text Classification by Contrastive Learning with Text-level Graph Augmentation
Asymmetric Learning for Graph Neural Network based Link Prediction
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification
Context-Based Evaluation of Dimensionality Reduction Algorithms - Experiments and Statistical Significance Analysis
CrowdTC: Crowd-powered Learning for Text Classification
Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps
Integrating Document Clustering and Multidocument Summarization
MCAKE: Memory-Augmented Autoencoder with Contrastive Learning for Unsupervised Anomaly Detection
Evolutionary Classifier and Cluster Selection Approach for Ensemble Classification
On-Shelf Utility Mining of Sequence Data
Bayesian Additive Matrix Approximation for Social Recommendation
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks
Smart Multitask Bregman Clustering and Multitask Kernel Clustering
Enumerating Trillion Subgraphs On Distributed Systems
Growth Scale-Free Networks by Various Generative Ways
Stable Subsampling under Model Misspecification and Covariate Shift
Social Influence Based Clustering and Optimization over Heterogeneous Information Networks
Nearest Neighbor-Based Classification of Uncertain Data
HARP: A Novel Hierarchical Attention Model for Relation Prediction
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing
Classification with Streaming Features: An Emerging-Pattern Mining Approach
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks