A Collective Approach to Scholar Name Disambiguation
A Graph Neural Network Framework for Social Recommendations
A Hybrid Data Cleaning Framework Using Markov Logic Networks
A Method for Geodesic Distance on Subdivision of Trees With Arbitrary Orders and Their Applications
Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples
Data Representation by Joint Hypergraph Embedding and Sparse Coding
Data-Driven Variable Decomposition for Treatment Effect Estimation
Efficient Processing of Group Planning Queries Over Spatial-Social Networks
Embedded Transaction Support Inside SSD With Small-Capacity Non-Volatile Disk Cache
Entropy-Based Subjective Choice Models
Exploiting Data Skew for Improved Query Performance
Feature and Nuclear Norm Minimization for Matrix Completion
Graph Matching Via the Lens of Supermodularity
Index-Based Solutions for Efficient Density Peak Clustering
Interpretation of Structural Preservation in Low-Dimensional Embeddings
Karst: Transactional Data Ingestion Without Blocking on a Scalable Architecture
KGGen: A Generative Approach for Incipient Knowledge Graph Population
Learning Deep Graph Representations via Convolutional Neural Networks
Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
MAS-Encryption and its Applications in Privacy-Preserving Classifiers
Minority Sub-Region Estimation-Based Oversampling for Imbalance Learning
Multi-Scale Dynamic Convolutional Network for Knowledge Graph Embedding
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks
Rapid Detection of Local Communities in Graph Streams
Representation Learning With Multi-Level Attention for Activity Trajectory Similarity Computation
Role-Based Graph Embeddings
Semantic Interpretation of Top-N Recommendations
Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept Space
Social Attentive Deep Q-Networks for Recommender Systems
Stream Processing of Shortest Path Query in Dynamic Road Networks
Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM
Topic-Guided Conversational Recommender in Multiple Domains
Using Survival Theory in Early Pattern Detection for Viral Cascades
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
