yusuke1997/dblp-id-title huggingface dataset:
Parallel Field Ranking
Fair and Private Data Preprocessing through Microaggregation
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning
Data mining for discrimination discovery
Efficient Node PageRank Improvement via Link-building using Geometric Deep Learning
Semi-Supervised Ensemble Learning for Dealing with Inaccurate and Incomplete Supervision
Scalable Clustering by Iterative Partitioning and Point Attractor Representation
Local Overlapping Spatial-aware Community Detection
Causal Discovery via Causal Star Graphs
Digger: Detect Similar Groups in Heterogeneous Social Networks
DeepDepict: Enabling Information Rich, Personalized Product Description Generation With the Deep Multiple Pointer Generator Network
Adaptive Modality Interaction Transformer for Multimodal Knowledge Graph Completion
Combinatorial Algorithms for String Sanitization
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains
Measuring the Network Vulnerability Based on Markov Criticality
Interest-Disentangled Contrastive Sample Generation for Recommendation
Distributed Keyword-guided Topic Model with Lexical Knowledge Supervision
Selecting the Right Correlation Measure for Binary Data
Local Spectral Clustering for Overlapping Community Detection
Exploiting fisher and fukunaga-koontz transforms in chernoff dimensionality reduction
Differentiating Regularization Weights - A Simple Mechanism to Alleviate Cold Start in Recommender Systems
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark
A Joint Passenger Flow Inference and Path Recommender System for Deploying New Routes and Stations of Mass Transit Transportation
Fast Connectivity Minimization on Large-Scale Networks
Aspect Aware Learning for Aspect Category Sentiment Analysis
A Generic Multilabel Learning-Based Classification Algorithm Recommendation Method
Overlapping Graph Clustering in Attributed Networks via Generalized Cluster Potential Game
Instance Annotation for Multi-Instance Multi-Label Learning
Graph Domain Adaptation: A Generative View
Individuality Meets Commonality: A Unified Graph Learning Framework for Multi-View Clustering
Stacked Convolutional Sparse Auto-Encoders for Representation Learning
Joint Transferable Dictionary Learning and View Adaptation for Multi-view Human Action Recognition
Computational Estimation by Scientific Data Mining with Classical Methods to Automate Learning Strategies of Scientists
Graph Self-attention Mechanism for Interpretable Multi-hop Knowledge Graph Link Prediction
World Knowledge as Indirect Supervision for Document Clustering
Social trust prediction using heterogeneous networks
Semantic annotation of frequent patterns
Forecasting in the NBA and other team sports: Network effects in action
A Reduced Network Traffic Method for IoT Data Clustering
CAT-LLM: Style-enhanced Large Language Models with Text Style Definition for Chinese Article-style Transfer
Class Imbalance and Cost-Sensitive Decision Trees: A Unified Survey Based on a Core Similarity
Page-Level Main Content Extraction From Heterogeneous Webpages
Intricate Spatiotemporal Dependency Learning for Temporal Knowledge Graph Reasoning
Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning
Eigen-Optimization on Large Graphs by Edge Manipulation
Adaptive Content-Aware Influence Maximization via Online Learning to Rank
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location
A General Coreset-Based Approach to Diversity Maximization under Matroid Constraints
Preserve Integrity in Realtime Event Summarization
Evasion-Robust Classification on Binary Domains
Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014
Exploring Multiobjective Optimization for Multiview Clustering
A Survey on Bid Optimization in Real-Time Bidding Display Advertising
STORM: A MapReduce Framework for Symbolic Time Intervals Series Classification
Joint cluster analysis of attribute data and relationship data: The connected k -center problem, algorithms and applications
Adaptive Neighbor Graph Aggregated Graph Attention Network for Heterogeneous Graph Embedding
AR 2 Net: An Attentive Neural Approach for Business Location Selection with Satellite Data and Urban Data
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering
Span-core Decomposition for Temporal Networks: Algorithms and Applications
HADI: Mining Radii of Large Graphs
Distributed Cooperative Coevolution of Data Publishing Privacy and Transparency
CommunityDiff: Visualizing Community Clustering Algorithms
Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data
A Model for Information Growth in Collective Wisdom Processes
SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds
Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning
A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis
Finding Dynamic Dense Subgraphs
Exploring the Learning Difficulty of Data: Theory and Measure
Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks
Graph Neural Networks with Motisf-aware for Tenuous Subgraph Finding
Robust Distributed Estimation for Modal Regression under Least Squares Approximation
Hubness-Enabled Clustering and Recovery for Large-Scale Incomplete Multi-View Data
iHypR: Prominence ranking in networks of collaborations with hyperedges
Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint
An Influence Propagation View of PageRank
Microblog Retrieval Based on Concept-Enhanced Pre-Training Model
Core Interest Network for Click-Through Rate Prediction
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
Data Completion-Guided Unified Graph Learning for Incomplete Multi-View Clustering
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation
CM-CaFE: A Clustering Method with Causality-based Feature Embedding
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics
Link spam target detection using page farms
Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs
Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models
An Instance Space Analysis of Regression Problems
Variant Grassmann Manifolds: A Representation Augmentation Method for Action Recognition
Introduction to special issue on social computing, behavioral modeling, and prediction
HUSP-SP: Faster Utility Mining on Sequence Data
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
Scalable and axiomatic ranking of network role similarity
Multilabel dimensionality reduction via dependence maximization
Generalized Euclidean Measure to Estimate Distances on Multilayer Networks
Fast likelihood search for hidden Markov models
Multi-View Low-Rank Analysis with Applications to Outlier Detection
GeoGail: A Model-Based Imitation Learning Framework for Human Trajectory Synthesizing
Co-Training-Teaching: A Robust Semi-Supervised Framework for Review-Aware Rating Regression
Supporting Exploratory Hypothesis Testing and Analysis
Density-Friendly Graph Decomposition
Multi-relation Graph Summarization
A General Concave Fairness Framework for Influence Maximization Based on Poverty Reward
Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications
Computing Graph Descriptors on Edge Streams
FeadSeq: A Personalized Federated Anomaly Detection Framework for Discrete Event Sequences
BiLabel-Specific Features for Multi-Label Classification
Discovering Social Circles in Directed Graphs
Multiple Set Matching with Bloom Matrix and Bloom Vector
Distributed Latent Dirichlet Allocation on Streams
Comparison of Ontology Alignment Systems Across Single Matching Task Via the McNemar's Test
A Compact Vulnerability Knowledge Graph for Risk Assessment
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling
Evidence Transfer: Learning Improved Representations According to External Heterogeneous Task Outcomes
MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble
Multi-level Contrastive Learning for Knowledge Tracing
Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation
A Pipeline Computing Method of SpTV for Three-Order Tensors on CPU and GPU
Hierarchical Spatial Decompositions under Local Differential Privacy
Distributed Triangle Approximately Counting Algorithms in Simple Graph Stream
Privacy-preserving decision trees over vertically partitioned data
Exploiting Conversation-Branch-Tweet HyperGraph Structure to Detect Misinformation on Social Media
Anomaly Detection from Incomplete Data
Collective entity resolution in relational data
Privacy-Preserving Personalized Fitness Recommender System P 3 FitRec : A Multi-level Deep Learning Approach
MBN: Towards Multi-Behavior Sequence Modeling for Next Basket Recommendation
Bursty Event Detection in Twitter Streams
Supervised Contrastive Learning for Interpretable Long-Form Document Matching
Mining Community Structures in Multidimensional Networks
Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey
Memory-Efficient and Accurate Sampling for Counting Local Triangles in Graph Streams: From Simple to Multigraphs
Learning Hierarchical Task Structures for Few-shot Graph Classification
Sequential Transform Learning
Robust Graph Regularized Nonnegative Matrix Factorization for Clustering
Modeling Buying Motives for Personalized Product Bundle Recommendation
Generative Multi-Label Correlation Learning
An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning
Knowledge Graph Fine-grained Modeling Network with Contrastive Learning for Recommendation
Multi-User Mobile Sequential Recommendation for Route Optimization
Combining Filtering and Cross-Correlation Efficiently for Streaming Time Series
Active Sampling for Entity Matching with Guarantees
Synchronization-Core-Based Discovery of Processes with Decomposable Cyclic Dependencies
Bayesian Frequency Estimation under Local Differential Privacy with an Adaptive Randomized Response Mechanism
A Regularization Approach to Learning Task Relationships in Multitask Learning
DP-GCN: Node Classification by Connectivity and Local Topology Structure on Real-World Network
Large Scale Online Multiple Kernel Regression with Application to Time-Series Prediction
L -diversity: Privacy beyond k -anonymity
Distance-Preserving Embedding Adaptive Bipartite Graph Multi-View Learning with Application to Multi-Label Classification
Laplacian-based Cluster-Contractive t-SNE for High-Dimensional Data Visualization
RHPTree - Risk Hierarchical Pattern Tree for Scalable Long Pattern Mining
MDL4BMF: Minimum Description Length for Boolean Matrix Factorization
The Relationship between Online Social Network Ties and User Attributes
A Novel Tree-Based Method for Interpretable Reinforcement Learning
Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology
US-Rule: Discovering Utility-driven Sequential Rules
A Combination Approach to Web User Profiling
GBAGC: A General Bayesian Framework for Attributed Graph Clustering
Optimal Scale-Free Small-World Graphs with Minimum Scaling of Cover Time
GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training
The Latent Maximum Entropy Principle
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans
Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning
Continuous-Time User Modeling in Presence of Badges: A Probabilistic Approach
Social Collaborative Mutual Learning for Item Recommendation
A new efficient probabilistic model for mining labeled ordered trees applied to glycobiology
Scalable and Efficient Flow-Based Community Detection for Large-Scale Graph Analysis
On Data Publishing with Clustering Preservation
Sampling for Nyström Extension-Based Spectral Clustering: Incremental Perspective and Novel Analysis
Fast Algorithms for Approximating the Singular Value Decomposition
Exploiting User Preference and Mobile Peer Influence for Human Mobility Annotation
Interactive Fusion Label Enhancement for Multi-Label Learning
Computing Random Forest-distances in the presence of missing data
STAD-GAN: Unsupervised Anomaly Detection on Multivariate Time Series with Self-training Generative Adversarial Networks
Generative Models for Evolutionary Clustering
Algorithms for Mining the Coevolving Relational Motifs in Dynamic Networks
Efficient Latent-based Scoring Function Search for N-ary Relational Knowledge Bases
Deep Disease Label-guided Graph Convolutional Network for Medical Report Generation
Reinforcement Learning for Practical Express Systems with Mixed Deliveries and Pickups
Multi-Label Quantification
Collective Graph Identification
Heterogeneous Graphlets
GRASP: Scalable Graph Alignment by Spectral Corresponding Functions
User Vulnerability and Its Reduction on a Social Networking Site
On Equivalence of Anomaly Detection Algorithms
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams
Linearization of Dependency and Sampling for Participation-based Betweenness Centrality in Very Large B-hypergraphs
A Multisource Data Fusion-based Heterogeneous Graph Attention Network for Competitor Prediction
Principled Mining, Forecasting, and Monitoring of Honeybee Time Series with EBV+
Bavarian: Betweenness Centrality Approximation with Variance-aware Rademacher Averages
Learning Distance Metrics from Probabilistic Information
CoupledGT: Coupled Geospatial-temporal Data Modeling for Air Quality Prediction
Graph-Based Fraud Detection in the Face of Camouflage
Comparing Clustering with Pairwise and Relative Constraints: A Unified Framework
Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction
A Rumor Propagation Model Based on User Cognition and Evolutionary Game
An Efficient Transfer Learning Method with Auxiliary Information
Rationalizing Graph Neural Networks with Data Augmentation
NOODLE: Joint Cross-View Discrepancy Discovery and High-Order Correlation Detection for Multi-View Subspace Clustering
Road Network Construction with Complex Intersections Based on Sparsely Sampled Private Car Trajectory Data
Recommendations Based on Comprehensively Exploiting the Latent Factors Hidden in Items' Ratings and Content
Clustering Users by Their Mobility Behavioral Patterns
Modeling Alzheimer's Disease Progression with Fused Laplacian Sparse Group Lasso
Attributed Network Embedding with Micro-Meso Structure
Supervised Clustering of Persian Handwritten Images Using Regularization and Dimension Reduction Methods
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks
A Robust Reputation-Based Group Ranking System and Its Resistance to Bribery
Enhancing Reputation via Price Discounts in E-Commerce Systems: A Data-Driven Approach
When Less Is More: Systematic Analysis of Cascade-Based Community Detection
CFOF: A Concentration Free Measure for Anomaly Detection
Multi-modal Twitter Data Analysis for Identifying Offensive Posts Using a Deep Cross-Attention-based Transformer Framework
Enhancing Clustering Quality through Landmark-Based Dimensionality Reduction
Improving Top-N Recommendation for Cold-Start Users via Cross-Domain Information
Heterogeneous Univariate Outlier Ensembles in Multidimensional Data
MARGIN: Maximal frequent subgraph mining
Open-World Graph Active Learning for Node Classification
Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection
Structural Analysis of User Choices for Mobile App Recommendation
Cross-domain Recommendation with Bridge-Item Embeddings
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders
Toward Quality of Information Aware Distributed Machine Learning
Structure-Driven Representation Learning for Deep Clustering
Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs
Robust Tensor Recovery with Fiber Outliers for Traffic Events
Attention Models in Graphs: A Survey
Multiresolution Tensor Decompositions with Mode Hierarchies
Mining Largest Maximal Quasi-Cliques
A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators
Deep Reinforcement Learning for Demand-Driven Services in Logistics and Transportation Systems: A Survey
Pop Music Generation: From Melody to Multi-style Arrangement
Indexing Network Structure with Shortest-Path Trees
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System
Scalable and Accurate Online Feature Selection for Big Data
A Survey of Co-Clustering
Information-aware Multi-view Outlier Detection
Introduction for the Special Issue on Trustworthy Artificial Intelligence
Optimizing Matching for On-Demand Ride-Pooling with Stochastic Day-to-Day Dynamics
Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks
Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation
Label Distribution Guided Hashing for Cross-Modal Retrieval
Assignment Problems of Different-Sized Inputs in MapReduce
Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting
Incremental Feature Spaces Learning with Label Scarcity
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths
Analyzing communities and their evolutions in dynamic social networks
Efficient Ridesharing Framework for Ride-matching via Heterogeneous Network Embedding
Rethinking Natural Language Generation with Layer-Wise Multi-View Decoding
DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks
Near-Optimal and Practical Algorithms for Graph Scan Statistics with Connectivity Constraints
Cluster's Quality Evaluation and Selective Clustering Ensemble
Attention-Mechanism-Based Neural Latent-Factorization-of-Tensors Model
Optimal Algebraic Breadth-First Search for Sparse Graphs
Learning to predict reciprocity and triadic closure in social networks
Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through ( k , 𝒫)-Core based Embedding
MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification
Explainability-Based Mix-Up Approach for Text Data Augmentation
TRIÈST: Counting Local and Global Triangles in Fully Dynamic Streams with Fixed Memory Size
HITS-based Propagation Paradigm for Graph Neural Networks
SigGAN: Adversarial Model for Learning Signed Relationships in Networks
Towards Prototype-Based Self-Explainable Graph Neural Network
Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection
Fuzzy Weighted Principal Component Analysis for Anomaly Detection
Weighted cluster ensembles: Methods and analysis
Image Hash Layer Triggered CNN Framework for Wafer Map Failure Pattern Retrieval and Classification
On evolutionary spectral clustering
Heterogeneous Meta-Path Graph Learning for Higher-Order Social Recommendation
Partitioned Similarity Search with Cache-Conscious Data Traversal
Active Two Phase Collaborative Representation Classifier
Detecting and Assessing Anomalous Evolutionary Behaviors of Nodes in Evolving Social Networks
Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We?
Will Triadic Closure Strengthen Ties in Social Networks?
Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization
GEO: A Computational Design Framework for Automotive Exterior Facelift
Compression of Deep Learning Models for Text: A Survey
A Meta-Learning Approach to Mitigating the Estimation Bias of Q-Learning
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention
TPmod: A Tendency-Guided Prediction Model for Temporal Knowledge Graph Completion
Mining periodic patterns with gap requirement from sequences
Multiple Imputation Ensembles for Time Series (MIE-TS)
Collaborative Filtering with Topic and Social Latent Factors Incorporating Implicit Feedback
HCBST: An Efficient Hybrid Sampling Technique for Class Imbalance Problems
EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party
What Are Anomalies in a Network?
Discriminative Topic Modeling Based on Manifold Learning
Integrating Heterogeneous Graph Attention Network with Label Propagation for Detecting Spammer Groups on E-Commerce Platforms
Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation
Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue
Privacy-preserving classification of vertically partitioned data via random kernels
Quality-Informed Process Mining: A Case for Standardised Data Quality Annotations
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach
Misinformation Blocking Problem in Virtual and Real Interconversion Social Networks
Asymmetric Multi-Task Learning with Local Transference
Resisting the Edge-Type Disturbance for Link Prediction in Heterogeneous Networks
Use of Local Group Information to Identify Communities in Networks
Finding hierarchical heavy hitters in streaming data
Sequential Feature Explanations for Anomaly Detection
Inferring Networks of Diffusion and Influence
A Multiple Attention Layer-shareable Method for Link Prediction in Multilayer Networks
Measuring and extracting proximity graphs in networks
Leveraging Neighbor Attributes for Classification in Sparsely Labeled Networks
Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach
Utility Mining Across Multi-Dimensional Sequences
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors
Bayesian Model Selection Approach to Multiple Change-Points Detection with Non-Local Prior Distributions
On Modeling Influence Maximization in Social Activity Networks under General Settings
Trajectory Outlier Detection: New Problems and Solutions for Smart Cities
COLANet: Cross-Domain Recommender Systems with Latent Overlapping Items on Graph Neural Networks
Mining Redescriptions with Siren
Bayesian Variable Selection in Linear Regression in One Pass for Large Datasets
Efficiently Estimating Motif Statistics of Large Networks
Krylov Subspace Approximation for Local Community Detection in Large Networks
Message-Passing Algorithms for Sparse Network Alignment
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation
Shop-Type Recommendation Leveraging the Data from Social Media and Location-Based Services
Totally-ordered Sequential Rules for Utility Maximization
Detecting Anomalous Graphs in Labeled Multi-Graph Databases
Latent Representation Learning for Attributed Graph Anomaly Detection
FDphormer: Beyond Homophily with Feature-Difference Position Encoding