A Domain Adaptive Density Clustering Algorithm for Data With Varying Density Distribution
A Generic Ontology Framework for Indexing Keyword Search on Massive Graphs
A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search
A Survey on Canonical Correlation Analysis
Clustering With Outlier Removal
Data-Driven Link Screening for Increasing Network Predictability
Declarative Data Analytics: A Survey
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework
Efficient Utilization of Missing Data in Cost-Sensitive Learning
Enhancing Recommender Systems With a Stimulus-Evoked Curiosity Mechanism
Evolutionary Clustering via Message Passing
Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size
Finding Route Hotspots in Large Labeled Networks
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection
Improving the Quality of Web-Based Data Imputation With Crowd Intervention
Intervening Coupling Diffusion of Competitive Information in Online Social Networks
Large-Scale Nodes Classification With Deep Aggregation Network
Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting
Learning to Recommend With Multiple Cascading Behaviors
Learning With Feature Evolvable Streams
Matrix Profile IX: Admissible Time Series Motif Discovery With Missing Data
MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types
Mixture Matrix Approximation for Collaborative Filtering
MSQ-Index: A Succinct Index for Fast Graph Similarity Search
Nonparametric Regression via Variance-Adjusted Gradient Boosting Gaussian Process Regression
Online Adaptive Asymmetric Active Learning With Limited Budgets
Open Relation Extraction for Chinese Noun Phrases
POLAR++: Active One-Shot Personalized Article Recommendation
Predicting Taxi and Uber Demand in Cities: Approaching the Limit of Predictability
Robust Detection of Link Communities With Summary Description in Social Networks
Self-Healing Event Logs
Spatio-Temporal Multi-Task Learning via Tensor Decomposition
Subgraph Networks With Application to Structural Feature Space Expansion
Sys-TM: A Fast and General Topic Modeling System
Understanding and Optimizing Conjunctive Predicates Under Memory-Efficient Storage Layouts
