25 citations · 73 across the 7 of their papers we have counts for
7 papers
Investigating Extensions to Random Walk Based Graph Embedding
Joerg Schloetterer, Martin Wehking, Fatemeh Salehi Rizi +1
Graph embedding has recently gained momentum in the research community, in particular after the introduction of random walk and neural network based approaches. However, most of th…
Global and Local Feature Learning for Ego-Network Analysis
Fatemeh Salehi Rizi, Michael Granitzer, Konstantin Ziegler
In an ego-network, an individual (ego) organizes its friends (alters) in different groups (social circles). This social network can be efficiently analyzed after learning represent…
Predicting event attendance exploring social influence
Fatemeh Salehi Rizi, Michael Granitzer
The problem of predicting people's participation in real-world events has received considerable attention as it offers valuable insights for human behavior analysis and event-relat…
Shortest path distance approximation using deep learning techniques
Fatemeh Salehi Rizi, Joerg Schloetterer, Michael Granitzer
Computing shortest path distances between nodes lies at the heart of many graph algorithms and applications. Traditional exact methods such as breadth-first-search (BFS) do not sca…
A Fast Survey on Methods for Classification Anonymity Requirements
Morteza Yousefi Kharaji, Fatemeh Salehi Rizi
Anonymity has become a significant issue in security field by recent advances in information technology and internet. The main objective of anonymity is hiding and concealing entit…
A New Approach for Finding Cloned Profiles in Online Social Networks
Morteza Yousefi Kharaji, Fatemeh Salehi Rizi, Mohammad Reza Khayyambashi
Today, Online Social Networks such as Facebook, LinkedIn and Twitter are the most popular platforms on the Internet, on which millions of users register to share personal informati…
An IAC Approach for Detecting Profile Cloning in Online Social Networks
Morteza Yousefi Kharaji, Fatemeh Salehi Rizi
Nowadays, Online Social Networks are popular websites on the internet, which millions of users register on and share their own personal information with others. Privacy threats and…