A BP Neural Network Based Recommender Framework With Attention Mechanism
A High-Performance Index for Real-Time Matrix Retrieval
A Multi-Criteria Approach for Fast and Robust Representative Selection from Manifolds
A Novel Method for Creating an Optimized Ensemble Classifier by Introducing Cluster Size Reduction and Diversity
A Stochastic Approach to Finding Densest Temporal Subgraphs in Dynamic Graphs
An Innovative Risk Assessment Methodology for Medical Information Systems
Bipartite Graph Based Multi-View Clustering
Computing K-Cores in Large Uncertain Graphs: An Index-Based Optimal Approach
CONNA: Addressing Name Disambiguation on the Fly
Context-Aware Path Ranking in Road Networks
Deep Pairwise Hashing for Cold-Start Recommendation
Distributed Hypergraph Processing Using Intersection Graphs
Distributed Multimodal Path Queries
Domain-Adversarial Network Alignment
Effective Similarity Search on Heterogeneous Networks: A Meta-Path Free Approach
ESVSSE: Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption
Fully Dynamic $k$k-Center Clustering With Improved Memory Efficiency
GAN-Based Enhanced Deep Subspace Clustering Networks
Graph-Based Identification and Authentication: A Stochastic Kronecker Approach
GraphShield: Dynamic Large Graphs for Secure Queries With Forward Privacy
Heuristic 3D Interactive Walks for Multilayer Network Embedding
Hierarchical Latent Context Representation for Context-Aware Recommendations
I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks
Learning Inter- and Intra-Manifolds for Matrix Factorization-Based Multi-Aspect Data Clustering
LShape Partitioning: Parallel Skyline Query Processing Using $MapReduce$MapReduce
Modeling Signed Networks as 2-Layer Growing Networks
mSHINE: A Multiple-Meta-Paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding
Multi-View Consensus Proximity Learning for Clustering
Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix
On Extracting Socially Tenuous Groups for Online Social Networks With $k$k-Triangles
Overcoming Data Sparsity in Group Recommendation
Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups
Proactive & Time-Optimized Data Synopsis Management at the Edge
ProbMinHash – A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity
Robust Network Enhancement From Flawed Networks
Strict and Flexible Rule-Based Graph Repairing
