2 citations · 2 across the 4 of their papers we have counts for
5 papers
Weighted Graph Nodes Clustering via Gumbel Softmax
Deepak Bhaskar Acharya, Huaming Zhang
Graph is a ubiquitous data structure in data science that is widely applied in social networks, knowledge representation graphs, recommendation systems, etc. When given a graph dat…
Certificate complexity and symmetry of nested canalizing functions
Yuan Li, Frank Ingram, Huaming Zhang
Boolean nested canalizing functions (NCFs) have important applications in molecular regulatory networks, engineering and computer science. In this paper, we study their certificate…
Community Detection Clustering via Gumbel Softmax
Deepak Bhaskar Acharya, Huaming Zhang
Recently, in many systems such as speech recognition and visual processing, deep learning has been widely implemented. In this research, we are exploring the possibility of using d…
Feature Selection and Extraction for Graph Neural Networks
Deepak Bhaskar Acharya, Huaming Zhang
Graph Neural Networks (GNNs) have been a latest hot research topic in data science, due to the fact that they use the ubiquitous data structure graphs as the underlying elements fo…
Computing Longest Increasing Subsequence Over Sequential Data Streams
Youhuan Li, Lei Zou, Huaming Zhang +1
In this paper, we propose a data structure, a quadruple neighbor list (QN-list, for short), to support real time queries of all longest increasing subsequence (LIS) and LIS with co…