A Transformation-Based Framework for KNN Set Similarity Search
ChronoGraph: Enabling Temporal Graph Traversals for Efficient Information Diffusion Analysis over Time
Deep Inductive Graph Representation Learning
Dynamic Connection-Based Social Group Recommendation
Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning
Learning New Words from Keystroke Data with Local Differential Privacy
Personalized Video Recommendation Using Rich Contents from Videos
Re-Revisiting Learning on Hypergraphs: Confidence Interval, Subgradient Method, and Extension to Multiclass
SAL-Hashing: A Self-Adaptive Linear Hashing Index for SSDs
Scheduling Resources to Multiple Pipelines of One Query in a Main Memory Database Cluster
Unlocking Author Power: On the Exploitation of Auxiliary Author-Retweeter Relations for Predicting Key Retweeters
User Interface Derivation for Business Processes
Using Latent Knowledge to Improve Real-Time Activity Recognition for Smart IoT
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences
VA-Store: A Virtual Approximate Store Approach to Supporting Repetitive Big Data in Genome Sequence Analyses