22 citations · 52 across the 9 of their papers we have counts for
4 papers · 1 filter
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding
Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen +1
Network embedding methodologies, which learn a distributed vector representation for each vertex in a network, have attracted considerable interest in recent years. Existing works…
Incremental Eigenpair Computation for Graph Laplacian Matrices: Theory and Applications
Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan
The smallest eigenvalues and the associated eigenvectors (i.e., eigenpairs) of a graph Laplacian matrix have been widely used in spectral clustering and community detection. Howeve…
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs
Baichuan Zhang, Sutanay Choudhury, Mohammad Al Hasan +4
Link prediction, or predicting the likelihood of a link in a knowledge graph based on its existing state is a key research task. It differs from a traditional link prediction task…
Feature Selection for Classification under Anonymity Constraint
Baichuan Zhang, Noman Mohammed, Vachik Dave +1
Over the last decade, proliferation of various online platforms and their increasing adoption by billions of users have heightened the privacy risk of a user enormously. In fact, s…