A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification
A Robust Linear Regression Feature Selection Method for Data Sets With Unknown Noise
A Unified Generative Adversarial Learning Framework for Improvement of Skip-Gram Network Representation Learning Methods
Active and Compact Entropy Search for High-Dimensional Bayesian Optimization
Adaptive Spectral Rotation via Joint Cluster and Pairwise Structure
Adversarial Attack on Large Scale Graph
Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions
Applications of Differential Privacy in Social Network Analysis: A Survey
Beyond Similarity: Relation-Based Collaborative Filtering
Binarized Embeddings for Fast, Space-Efficient Knowledge Graph Completion
Centralized Routing for Bike-Sharing Systems
CoANE: Modeling Context Co-Occurrence for Attributed Network Embedding
Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph
Core Decomposition on Uncertain Graphs Revisited
Corporate Relative Valuation Using Heterogeneous Multi-Modal Graph Neural Network
Cross-GCN: Enhancing Graph Convolutional Network with $k$k-Order Feature Interactions
Data Lake Organization
Decision Tree for Sequences
Deep Metric Learning for K Nearest Neighbor Classification
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction
DeepPick: A Deep Learning Approach to Unveil Outstanding Users With Public Attainable Features
Diagnostic Sparse Connectivity Networks With Regularization Template
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
Dynamic Allocation Optimization in A/B-Tests Using Classification-Based Preprocessing
Dynamic Opinion Maximization in Social Networks
Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings
EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis
Edge Manipulation Approaches for K-Core Minimization: Metrics and Analytics
Efficient Anomaly Detection for High-Dimensional Sensing Data With One-Class Support Vector Machine
Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation
Embedding Disentanglement in Graph Convolutional Networks for Recommendation
Fast Multi-View Clustering via Prototype Graph
Finding Critical Users in Social Communities via Graph Convolutions
FinGAT: Financial Graph Attention Networks for Recommending Top-$K$K Profitable Stocks
Generalized Label Enhancement With Sample Correlations
Graph-Based Embedding Smoothing for Sequential Recommendation
Graph-Driven Federated Data Management
Heterogeneous Graph Propagation Network
Heterogeneous Latent Topic Discovery for Semantic Text Mining
Hierarchical Multi-View Graph Pooling With Structure Learning
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
How Context or Knowledge Can Benefit Healthcare Question Answering?
Incomplete Multi-View Clustering With Joint Partition and Graph Learning
Inferring Origin-Destination Flows From Population Distribution
Informed Machine Learning – A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
Knowledge Graph for China's Genealogy11.A shorter version of this paper won the Best Paper Award at IEEE ICKG 2020 (the 11th IEEE International Conference on Knowledge Graph, ickg 2020.bigke.org).
Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction
Learning Hierarchical Review Graph Representations for Recommendation
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning
Model Reuse With Reduced Kernel Mean Embedding Specification
MRT: Tracing the Evolution of Scientific Publications
Multi-Hop Reasoning Question Generation and Its Application
Multi-Modal Discrete Collaborative Filtering for Efficient Cold-Start Recommendation
Multi-Relational Data Characterization by Tensors: Perturbation Analysis
Negatively Correlated Noisy Learners for At-Risk User Detection on Social Networks: A Study on Depression, Anorexia, Self-Harm, and Suicide
Neighbor-Anchoring Adversarial Graph Neural Networks
NetFense: Adversarial Defenses Against Privacy Attacks on Neural Networks for Graph Data
NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning
On Efficient Large Maximal Biplex Discovery
RatioRF: A Novel Measure for Random Forest Clustering Based on the Tversky’s Ratio Model
RobustECD: Enhancement of Network Structure for Robust Community Detection
Self-Supervised Learning: Generative or Contrastive
Semi-Supervised Learning With Label Proportion
Set-Aware Entity Synonym Discovery With Flexible Receptive Fields
Sparse Graph Attention Networks
SwapKV: A Hotness Aware In-Memory Key-Value Store for Hybrid Memory Systems
Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning
Temporal Network Motifs: Models, Limitations, Evaluation
Time-Capturing Dynamic Graph Embedding for Temporal Linkage Evolution
Topic Modeling of Short Texts: A Pseudo-Document View With Word Embedding Enhancement
Towards Fine-Grained Concept Generation
Towards Indoor Temporal-Variation Aware Shortest Path Query
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System
T-SQL: A Lightweight Implementation to Enable Built-in Temporal Support in MVCC-Based RDBMSs
TwiCS: Lightweight Entity Mention Detection in Targeted Twitter Streams
Utility-Preserving Privacy Protection of Textual Documents via Word Embeddings
Where to: Crowd-Aided Path Selection by Selective Bayesian Network
