22 citations · 52 across the 9 of their papers we have counts for
10 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…
Name Disambiguation in Anonymized Graphs using Network Embedding
Baichuan Zhang, Mohammad Al Hasan
In real-world, our DNA is unique but many people share names. This phenomenon often causes erroneous aggregation of documents of multiple persons who are namesake of one another. S…
Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams
Baichuan Zhang, Murat Dundar, Mohammad Al Hasan
The name entity disambiguation task aims to partition the records of multiple real-life persons so that each partition contains records pertaining to a unique person. Most of the e…
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…
Incremental Method for Spectral Clustering of Increasing Orders
Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan +1
The smallest eigenvalues and the associated eigenvectors (i.e., eigenpairs) of a graph Laplacian matrix have been widely used for spectral clustering and community detection. Howev…
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…
Name Disambiguation from link data in a collaboration graph using temporal and topological features
Baichuan Zhang, Tanay Kumar Saha, Mohammad Al Hasan
In a social community, multiple persons may share the same name, phone number or some other identifying attributes. This, along with other phenomena, such as name abbreviation, nam…