A Comparative Study for Unsupervised Network Representation Learning
A Hybrid Recommender System for Improving Automatic Playlist Continuation
Absorbing Diagonal Algorithm: An Eigensolver of $O\left(n^{2.584963}\log \frac{1}{\varepsilon }\right)$On2.584963log1ɛ Complexity at Accuracy $\varepsilon$ɛ
ActiveIter: Meta Diagram Based Active Learning in Social Networks Alignment
A-DSP: An Adaptive Join Algorithm for Dynamic Data Stream on Cloud System
An Adaptive Robust Semi-Supervised Clustering Framework Using Weighted Consensus of Random $k$k-Means Ensemble
Deep Cross-Modal Face Naming for People News Retrieval
Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System
Discrete Matrix Factorization and Extension for Fast Item Recommendation
DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity
Feature Re-Learning with Data Augmentation for Video Relevance Prediction
GraphInception: Convolutional Neural Networks for Collective Classification in Heterogeneous Information Networks
HGraph: I/O-Efficient Distributed and Iterative Graph Computing by Hybrid Pushing/Pulling
Imputation-Based Ensemble Techniques for Class Imbalance Learning
Joint Inference for Aspect-Level Sentiment Analysis by Deep Neural Networks and Linguistic Hints
Knowledge Base Reasoning with Convolutional-Based Recurrent Neural Networks
Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph
Learning Structural Node Representations Using Graph Kernels
Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning
Lightweight Label Propagation for Large-Scale Network Data
Multi-Label Truth Inference for Crowdsourcing Using Mixture Models
Multi-Level Attention Networks for Multi-Step Citywide Passenger Demands Prediction
Multi-Instance Learning With Emerging Novel Class
Network Intervention for Mental Disorders with Minimum Small Dense Subgroups
Neural Attention Frameworks for Explainable Recommendation
ParIS+: Data Series Indexing on Multi-Core Architectures
Popularity Prediction for Single Tweet Based on Heterogeneous Bass Model
Ranking Users in Social Networks with Motif-Based PageRank
Semi-Supervised Graph Based Embedding With Non-Convex Sparse Coding Techniques
Signed-PageRank: An Efficient Influence Maximization Framework for Signed Social Networks
SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning
SQL-G: Efficient Graph Analytics by SQL
Structured Graph Reconstruction for Scalable Clustering
The Impact of Task Abandonment in Crowdsourcing
TIDY: Publishing a Time Interval Dataset With Differential Privacy
Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing
