15 citations · 48 across the 14 of their papers we have counts for
5 papers · 1 filter
Robust Node Representation Learning via Graph Variational Diffusion Networks
Jun Zhuang, Mohammad Al Hasan
Node representation learning by using Graph Neural Networks (GNNs) has been widely explored. However, in recent years, compelling evidence has revealed that GNN-based node represen…
Force-directed graph embedding with hops distance
Hamidreza Lotfalizadeh, Mohammad Al Hasan
Graph embedding has become an increasingly important technique for analyzing graph-structured data. By representing nodes in a graph as vectors in a low-dimensional space, graph em…
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
Jun Zhuang, Mohammad Al Hasan
Node classification using Graph Neural Networks (GNNs) has been widely applied in various real-world scenarios. However, in recent years, compelling evidence emerges that the perfo…
Deperturbation of Online Social Networks via Bayesian Label Transition
Jun Zhuang, Mohammad Al Hasan
Online social networks (OSNs) classify users into different categories based on their online activities and interests, a task which is referred as a node classification task. Such…
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…