yusuke1997/dblp-id-title huggingface dataset:
Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs
Optimization of Graph Clustering Inspired by Dynamic Belief Systems
Embedable Problem-Solving Architectures: A Study of Integrating OPS5 with UMass GBB
Context-Based Diversification for Keyword Queries Over XML Data
A System for Approximate Tree Matching
Hybrid Regret Minimization: A Submodular Approach
AISFuser: Encoding Maritime Graphical Representations With Temporal Attribute Modeling for Vessel Trajectory Prediction
Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions
Temporal Association Algebra: A Mathematical Foundation for Processing Object-Oriented Temporal Databases
Revisiting Few-Shot Learning From a Causal Perspective
Relaxed Functional Dependencies - A Survey of Approaches
Normalized Robust PCA With Adaptive Reconstruction Error Minimization
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection
Graph-Based Analysis of Human Transfer Learning Using a Game Testbed
Discovering Team Structures in Soccer from Spatiotemporal Data
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective
Enhanced Graph Transforming V2 Algorithm for Non-Simple Graph in Big Data Pre-Processing
Neural Abstractive Summarization for Long Text and Multiple Tables
A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data
Adaptive Database Schema Design for Multi-Tenant Data Management
Robust Median Reversion Strategy for Online Portfolio Selection
Mining Behavioral Sequence Constraints for Classification
Handling Discovered Structure in Database Systems
Structured Dimensionality Reduction for Additive Model Regression
SemSI-GAT: Semantic Similarity-Based Interaction Graph Attention Network for Knowledge Graph Completion
Detection of Community Structures in Networks With Nodal Features based on Generative Probabilistic Approach
Acceleration Algorithms in GNNs: A Survey
Guest Editors Introduction: Special Section on Keyword Search on Structured Data
Image Information Systems: Where Do We Go From Here?
A Graph Neural Network Framework for Social Recommendations
Robustness-Reinforced Knowledge Distillation With Correlation Distance and Network Pruning
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems
Privacy-Preserving OLAP: An Information-Theoretic Approach
DKWS: A Distributed System for Keyword Search on Massive Graphs
Causal Inference for Leveraging Image-Text Matching Bias in Multi-Modal Fake News Detection
A Decision Model for Choosing the Optimal Level of Storage in Temporal Databases
Rank Entropy-Based Decision Trees for Monotonic Classification
DIMS: Distributed Index for Similarity Search in Metric Spaces
Unsupervised Learning with Mixed Numeric and Nominal Data
HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing
Towards the Correctness and Consistency of Update Semantics in Semantic Database Schema
Advanced Block Nested Loop Join for Extending SSD Lifetime
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
SRA: Secure Reverse Auction for Task Assignment in Spatial Crowdsourcing
Learning Predictive Choice Models for Decision Optimization
Graph Ranking Auditing: Problem Definition and Fast Solutions
Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval
k-Pattern Set Mining under Constraints
Cafe: Improved Federated Data Imputation by Leveraging Missing Data Heterogeneity
Corrections to "NATERGM: A Model for Examining the Role of Nodal Attributes in Dynamic Social Media Networks"
A Survey on Dropout Methods and Experimental Verification in Recommendation
Segmenting Customers from Population to Individuals: Does 1-to-1 Keep Your Customers Forever?
Multi-View Scholar Clustering With Dynamic Interest Tracking
Discerning Influence Patterns with Beta-Poisson Factorization in Microblogging Environments
Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions
Out-of-Distribution Generalization With Causal Feature Separation
On Efficiently Processing MIT Queries in Trajectory Data
Cluster-Based Joins for Federated SPARQL Queries
Learning to Weight for Text Classification
Domain Invariant Transfer Kernel Learning
Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop
Query Expansion by Mining User Logs
Foreword to the First Issue
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Asynchronous Parallel, Sparse Approximated SVRG for High-Dimensional Machine Learning
Enhancing Drug Recommendations Via Heterogeneous Graph Representation Learning in EHR Networks
Statistically Robust Evaluation of Stream-Based Recommender Systems
Learning-Based Attribute-Augmented Proximity Matrix Factorization for Attributed Network Embedding
An Extension to the Noisy-OR Function to Resolve the 'Explaining Away' Deficiency for Practical Bayesian Network Problems
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
Evaluating Universal Quantification in XML
Hyperbolic Temporal Network Embedding
Heterogeneous Graph Condensation
Truth Discovery with Multiple Conflicting Information Providers on the Web
A Knowledge-Guided Pre-Training Temporal Data Analysis Foundation Model for Urban Computing
l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items
A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting
Effortless Locality on Data Systems Using Relational Fabric
An Approach to Mobile Software Robots for the WWW
MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection
Using Knowledge-Based Technology to Integrate CIM Databases
StableGCN: Decoupling and Reconciling Information Propagation for Collaborative Filtering
MV-FTL: An FTL That Provides Page-Level Multi-Version Management
Dimensionality Reduction in Automatic Knowledge Acquisition: A Simple Greedy Search Approach
Prototypical Concept Representation
Keyword Search over Distributed Graphs with Compressed Signature
On the Fairness of Time-Critical Influence Maximization in Social Networks
Top-k Dominating Queries on Incomplete Data
Learning Graph Representation With Generative Adversarial Nets
GAN-Based Anomaly Detection for Multivariate Time Series Using Polluted Training Set
Reorganizing Knowledge to Improve Performance
Spatio-Temporal Multi-Task Learning via Tensor Decomposition
No DBA? No Regret! Multi-Armed Bandits for Index Tuning of Analytical and HTAP Workloads With Provable Guarantees
Heterogeneous Information Network Embedding With Adversarial Disentangler
Efficient Processing of Nested Fuzzy SQL Queries in a Fuzzy Database
Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics
Multi-Task Multi-View Clustering
User Group Analytics Survey and Research Opportunities
Multiple Kernel Representation Learning on Networks
Computing K-Cores in Large Uncertain Graphs: An Index-Based Optimal Approach
Learning Concepts in Parallel Based upon the Strategy of Version Space
Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget
MALLET-A Multi-Agent Logic Language for Encoding Teamwork
Space-Efficient Subgraph Search Over Streaming Graph With Timing Order Constraint
Generating Broadcast Programs that Support Range Queries
Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling
Differential A*
Organizing User Search Histories
A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective
Active Learning for Knowledge Graph Schema Expansion
A Configurable Rete-OO Engine for Reasoning with Different Types of Imperfect Information
Discovering Frequent Agreement Subtrees from Phylogenetic Data
An Efficient Adaptive Multi-Kernel Learning With Safe Screening Rule for Outlier Detection
Spatial-Temporal Cross-View Contrastive Pre-Training for Check-in Sequence Representation Learning
PLBR: A Semi-Supervised Document Key Information Extraction via Pseudo-Labeling Bias Rectification
Secure Your Ride: Real-Time Matching Success Rate Prediction for Passenger-Driver Pairs
Reassessing Top-Down Join Enumeration
Multiparty Access Control for Online Social Networks: Model and Mechanisms
A Causal Probabilistic Network for Optimal Treatment of Bacterial Infections
Guest Editors' Introduction: Knowledge and Data Engineering for E-Learning
A Protocol for Establishing Secure Communication Channels in a Large Network
Semantic Abstractions in the Multimedia Domain
Adaptive Ensembling of Semi-Supervised Clustering Solutions
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning
THINKER - Entity Linking System for Turkish Language
Cost-Based Predictive Spatiotemporal Join
Event Detection With Dynamic Word-Trigger-Argument Graph Neural Networks
Leveraging Conceptualization for Short-Text Embedding
Combinatorial Optimization of Distributed Queries
Discovering and Explaining Abnormal Nodes in Semantic Graphs
Evaluation of Community Detection Methods
SPARK2: Top-k Keyword Query in Relational Databases
Dynamic Talent Flow Analysis with Deep Sequence Prediction Modeling
Effective Classification Using a Small Training Set Based on Discretization and Statistical Analysis
Meta Recommendation With Robustness Improvement
A Note on "Incomplete Relational Database Models Based on Intervals"
Maximizing Mutual Information Across Feature and Topology Views for Representing Graphs
A Time Impulse Neural Network Framework for Solving the Minimum Path Pair Problems of the Time-Varying Network
Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives
Joint Learning of Question Answering and Question Generation
Static and Streaming Discovery of Maximal Linear Representation Between Time Series
Interval-Based Conceptual Models for Time-Dependent Multimedia Data
DOLPHIN: Digital Online Library Providing Human-Like Interactive Navigation
On Efficient Shortest Path Computation on Terrain Surface: A Direction-Oriented Approach
Joint Reason Generation and Rating Prediction for Explainable Recommendation
Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data
LAAT: Locally Aligned Ant Technique for Discovering Multiple Faint Low Dimensional Structures of Varying Density
Ensemble Learning for Multi-Type Classification in Heterogeneous Networks
Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression
Trust Evolution: Modeling and Its Applications
Locating XML Documents in a Peer-to-Peer Network Using Distributed Hash Tables
Towards One-Size-Fits-Many: Multi-Context Attention Network for Diversity of Entity Resolution Tasks
Approximate Aggregations in Structured P2P Networks
Logical Structure Analysis and Generation for Structured Documents: A Syntactic Approach
BTWalk: Branching Tree Random Walk for Multi-Order Structured Network Embedding
PrefDB: Supporting Preferences as First-Class Citizens in Relational Databases
Federated Learning With Heterogeneous Client Expectations: A Game Theory Approach
Large Margin Feature Weighting Method via Linear Programming
Declarative Programs with Implicit Implications
Linear-Time Wrappers to Identify Atypical Points: Two Subset Generation Methods
Cost-Aware Rank Join with Random and Sorted Access
Exploiting Duality in Aspect Sentiment Triplet Extraction With Sequential Prompting
Using AUC and Accuracy in Evaluating Learning Algorithms
Mining Iterative Generators and Representative Rules for Software Specification Discovery
G-PICS: A Framework for GPU-Based Spatial Indexing and Query Processing
Structural and Textual Information Fusion for Symptom and Disease Representation Learning
Causal Decision Trees
Bounded Approximate Query Processing
Interest-Aware Graph Contrastive Learning for Recommendation With Diffusion-Based Augmentation
GPU-Accelerated Structural Diversity Search in Graphs
Toward Scalable Indexing for Top-k Queries
Rights Protection for Categorical Data
Scalable Identity-Oriented Speech Retrieval
A Binary String Approach for Updates in Dynamic Ordered XML Data
On Satisfiability, Equivalence, and Impication Problems Involving Conjunctive Queries in Database Systems
DIBA: A Re-Configurable Stream Processor
On Data Distribution Leakage in Cross-Silo Federated Learning
ESPM: Efficient Spatial Pattern Matching
IGES-RCI: Improved Greedy Equivalence Search and Recursive Causal Inference for Industrial Equipment Failure Prediction
Learnable Model Augmentation Contrastive Learning for Sequential Recommendation
Personalized Concept-Based Clustering of Search Engine Queries
An Information-Theoretical Framework for Cluster Ensemble
Temporal Specialization and Generalization
Causal Maps: Theory, Implementation, and Practical Applications in Multiagent Environments
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification
When Does Cotraining Work in Real Data?
A Relational Approach to Querying Streams
A Crowd-Enabled Approach for Privacy-Enhanced and Personalized Safe Route Planning for Fixed or Flexible Destinations
Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road Networks
Searching with Numbers
Classification Using Streaming Random Forests
Ranked Reverse Nearest Neighbor Search
Understanding Errors in Approximate Distributed Latent Dirichlet Allocation
Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study
A Tree-Based Forward Digest Protocol to Verify Data Integrity in Distributed Media Streaming
A Causal-Based Attribute Selection Strategy for Conversational Recommender Systems
Object-Based Directional Query Processing in Spatial Databases
Information Flow Control in Object-Oriented Systems
Anonymizing Classification Data for Privacy Preservation
FRAME: Feature Rectification for Class Imbalance Learning
Proactive & Time-Optimized Data Synopsis Management at the Edge
Databases with Deadline and Contingency Constraints
Dynamic Auto-Structuring Graph Neural Network: A Joint Learning Framework for Origin-Destination Demand Prediction
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges
Learning the Gain Values and Discount Factors of Discounted Cumulative Gains
Personalized Recommendation Models in Federated Settings: A Survey
Multiprocessor Join Scheduling
Effective Data Mining Using Neural Networks
Voting Systems with Trust Mechanisms in Cyberspace: Vulnerabilities and Defenses
Look Into Gradients: Learning Compact Hash Codes for Out-of-Distribution Retrieval
Active Learning for Ranking through Expected Loss Optimization
Bidirectional Attentive Multi-View Clustering
Making the Threshold Algorithm Access Cost Aware
An Exploration of Relationships Among Exclusive Disjunctive Data
Introducing the New AEs
Radio Database Compression for Accurate Energy-Efficient Localization in Fingerprinting Systems
Transaction Processing in Multilevel Secure Databases with Kernelized Architectures: Challenges and Solutions
Recovery of PTUIE Handling from Source Codes through Recognizing Its Probable Properties
Validation of an Automated System Model Generator
I/O-Efficient Multi-Criteria Shortest Paths Query Processing on Large Graphs
Efficient Top-k Dominating Computation on Massive Data
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning
The Context and the SitBAC Models for Privacy Preservation—An Experimental Comparison of Model Comprehension and Synthesis
An Enhanced Marked Cuckoo Filter for Multi-Set Multi-Membership Querying in Distributed System
TBNet: A Two-Stream Boundary-Aware Network for Generic Image Manipulation Localization
g-Inspector: Recurrent Attention Model on Graph
Guest Editors' Introduction to Special Section On Temporal and Real-Time Databases
An Algebra for Probabilistic Databases
Database Mining: A Performance Perspective
FedDict: Towards Practical Federated Dictionary-Based Time Series Classification
A Novel Trust Model Based Overlapping Community Detection Algorithm for Social Networks
Learning Customer Behaviors for Effective Load Forecasting
Decomposition of Knowledge for Concurrent Processing
A Novel Recommendation Model Regularized with User Trust and Item Ratings
Augmenting a Conceptual Model with Geospatiotemporal Annotations
Integrating K-Means Clustering with a Relational DBMS Using SQL
Efficient Skyline Computation in Structured Peer-to-Peer Systems
Guest Editors' Introduction: Special Section on Semantic Issues of Multimedia Systems
Processing of Continuous Location-Based Range Queries on Moving Objects in Road Networks
Towards Very Deep Representation Learning for Subspace Clustering
Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints
Efficient Sentinel Mining Using Bitmaps on Modern Processors
Parameter-Adaptive Border Peeling Clustering Algorithm
Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM
A Statistical Method for Estimating the Usefulness of Text Databases
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
KISS: Knowing Camera Prototype System for Recognizing and Annotating Places-of-Interest
Anonymous Query Processing in Road Networks
Design Guidelines for Object-Oriented Deductive Systems
Supergraph Search in Graph Databases via Hierarchical Feature-Tree
CMVC+: A Multi-View Clustering Framework for Open Knowledge Base Canonicalization Via Contrastive Learning
Graph Neural Networks for Missing Value Classification in a Task-Driven Metric Space
Sample Weighting: An Inherent Approach for Outlier Suppressing Discriminant Analysis
Effective and Efficient Discovery of Top-k Meta Paths in Heterogeneous Information Networks
A Survey on Graphical Methods for Classification Predictive Performance Evaluation
Graph K-means Based on Leader Identification, Dynamic Game, and Opinion Dynamics
d-Presence without Complete World Knowledge
Multi-Label Learning with Emerging New Labels
Repulsion-GNNs: Use Repulsion to Supplement Aggregation
Enabling Multilevel Trust in Privacy Preserving Data Mining
Interactive Visualization of Large Data Sets
Efficient Contour Computation of Group-Based Skyline
A Rule-Based Software Test Data Generator
Scalable Color Image Indexing and Retrieval Using Vector Wavelets
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm
LDA-Reg: Knowledge Driven Regularization Using External Corpora
The Skyline of a Probabilistic Relation
Feature Selection by Maximizing Independent Classification Information
Identity Protection in Sequential Releases of Dynamic Networks
Information Retrieval in Document Image Databases
Region Embedding With Intra and Inter-View Contrastive Learning
Declarative Data Analytics: A Survey
Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy
Quality-Assured Synchronized Task Assignment in Crowdsourcing
A Review on Ontology Modularization Techniques - A Multi-Dimensional Perspective
Bias and Controversy in Evaluation Systems
Credibility: How Agents Can Handle Unfair Third-Party Testimonies in Computational Trust Models
Neural Similarity Search on Supergraph Containment
Energy-Efficient Query Processing in Web Search Engines
A Spectrum-Based Framework for Quantifying Randomness of Social Networks
On Searching and Querying Maximum Directed $(k,\ell )$(k,ℓ)-Plex
Crawling Hidden Objects with kNN Queries
Online Knowledge Level Tracking with Data-Driven Student Models and Collaborative Filtering
On Identifying Critical Nuggets of Information during Classification Tasks
An Access Control Model and Its Use in Representing Mental Health Application Access Policy
Interoperability Support between MPEG-7/21 and OWL in DS-MIRF
Subgraph-Aware Few-Shot Inductive Link Prediction Via Meta-Learning
Temporal Heterogeneous Information Network Embedding via Semantic Evolution
Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series
A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity
Spatial Meta Learning With Comprehensive Prior Knowledge Injection for Service Time Prediction
Efficient Skyline Computation on Big Data
A Scalable P2P Platform for the Knowledge Grid
A Universal Physics-Informed Neural Network Framework for Predicting Network Dynamics: From Lower-Order to Higher-Order
Large-Scale Graph Label Propagation on GPUs
Dynamic Relation Repairing for Knowledge Enhancement
Feature Grouping-Based Outlier Detection Upon Streaming Trajectories
Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective
A Comment on "A Similarity Measure for Text Classification and Clustering"
Adapted One-versus-All Decision Trees for Data Stream Classification
Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing
Modeling and Detecting Communities in Node Attributed Networks
FROG: A Fast and Reliable Crowdsourcing Framework
Robust Sparse Weighted Classification for Crowdsourcing
Temporal Semantic Assumptions and Their Use in Databases
Closed Constrained Gradient Mining in Retail Databases
On the Reliability of AI Planning Software in Real-Time Applications
Hierarchical Active Learning With Label Proportions on Data Regions
Graph Linear Convolution Pooling for Learning in Incomplete High-Dimensional Data
Structure-Preserved Unsupervised Domain Adaptation
Rule Acquiring Expert Controllers
Webpage Depth Viewability Prediction Using Deep Sequential Neural Networks
Pre-Training Time-Aware Location Embeddings from Spatial-Temporal Trajectories
Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement
Oversampling With Reliably Expanding Minority Class Regions for Imbalanced Data Learning
A Web Surfer Model Incorporating Topic Continuity
A Comprehensive Analytical Performance Model for Disk Devices under Random Workloads
Discriminative Nonnegative Spectral Clustering with Out-of-Sample Extension
Semantic Conflict Resolution Ontology (SCROL): An Ontology for Detecting and Resolving Data and Schema-Level Semantic Conflicts
Maintaining Recursive Views of Regions and Connectivity in Networks
Toward an Accurate Analysis of Range Queries on Spatial Data
A Local Community Detection Method Based on Folded Subgraph
DP2-Pub: Differentially Private High-Dimensional Data Publication With Invariant Post Randomization
Conditional Anomaly Detection
Two End-to-End Quantum-Inspired Deep Neural Networks for Text Classification
A Novel Outlier Detection Method for Multivariate Data
Accurate and Scalable Graph Convolutional Networks for Recommendation Based on Subgraph Propagation
Neural-Based Learning Classifier Systems
A Suite of Efficient Randomized Algorithms for Streaming Record Linkage
PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data
AI Assistants: A Framework for Semi-Automated Data Wrangling
Distributed Multimodal Path Queries
Random k-Labelsets for Multilabel Classification
Anonymous Publication of Sensitive Transactional Data
HGraph: I/O-Efficient Distributed and Iterative Graph Computing by Hybrid Pushing/Pulling
Semi-Supervised Ensemble Clustering Based on Selected Constraint Projection
A Survey and Quantitative Study on Map Inference Algorithms From GPS Trajectories
Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations
Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources
A Survey of Languages for Specifying Dynamics: A Knowledge Engineering Perspective
Hiding Sensitive Association Rules with Limited Side Effects
Achieving Communication Efficiency through Push-Pull Partitioning of Semantic Spaces to Disseminate Dynamic Information
Specifying and Enforcing Association Semantics via ORN in the Presence of Association Cycles
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies
Improved Greedy Algorithms for Sparse Approximation of a Matrix in Terms of Another Matrix
Imbalanced Node Classification With Synthetic Over-Sampling
Evaluating Tag-Based Preference Obfuscation Systems