A Novel Outlier Detection Method for Multivariate Data
A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification
An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning
Boundary-Focused Generative Adversarial Networks for Imbalanced and Multimodal Time Series
CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs
Detect Professional Malicious User With Metric Learning in Recommender Systems
Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality
Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression
Effective and Efficient Discovery of Top-k Meta Paths in Heterogeneous Information Networks
Efficient Radius-Bounded Community Search in Geo-Social Networks
Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks
Enumerating Maximum Cliques in Massive Graphs
Exploiting Reuse for GPU Subgraph Enumeration
Few-Shot Named Entity Recognition via Meta-Learning
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning Over Large-Scale Graphs
Generating Knowledge-Based Attentive User Representations for Sparse Interaction Recommendation
Heterogeneous Network Crawling: Reaching Target Nodes by Motif-Guided Navigation
Improving Deep Forest by Screening
Index-Based Intimate-Core Community Search in Large Weighted Graphs
Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records
LTC: A Fast Algorithm to Accurately Find Significant Items in Data Streams
Maximizing the Diversity of Exposure in a Social Network
MMCo-Clus – An Evolutionary Co-clustering Algorithm for Gene Selection
Modelling High-Order Social Relations for Item Recommendation
Multi-Task Learning for Influence Estimation and Maximization
Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization
Robust Variational Learning for Multiclass Kernel Models With Stein Refinement
Smooth Compact Tensor Ring Regression
Space-Efficient Subgraph Search Over Streaming Graph With Timing Order Constraint
Structural and Textual Information Fusion for Symptom and Disease Representation Learning
Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters
Trajectory-Based Spatiotemporal Entity Linking
TTPNet: A Neural Network for Travel Time Prediction Based on Tensor Decomposition and Graph Embedding
Verifying the Correctness of Analytic Query Results
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity
