2 citations · 2 across the 2 of their papers we have counts for
5 papers
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…
Bayesian Non-Exhaustive Classification for Active Online Name Disambiguation
Baichuan Zhang, Murat Dundar, Mohammad Al Hasan
The name disambiguation task partitions a collection of records pertaining to a given name, such that there is a one-to-one correspondence between the partitions and a group of peo…
NOUS: Construction and Querying of Dynamic Knowledge Graphs
Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit +4
The ability to construct domain specific knowledge graphs (KG) and perform question-answering or hypothesis generation is a transformative capability. Despite their value, automate…
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…