Farzaneh Heidari

Farzaneh Heidari

York University

H-index: 5

North America-Canada

About Farzaneh Heidari

Farzaneh Heidari, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at York University, specializes in the field of Network Representation Learning, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Explaining Graph Neural Networks Using Interpretable Local Surrogates

Microscopic modeling of spatiotemporal epidemic dynamics

A Mobility-based Recommendation System for Mitigating the Risk of Infection during Epidemics

Epidemic spreading in trajectory networks

Evolving network representation learning based on random walks

Farzaneh Heidari Information

University

Position

___

Citations(all)

52

Citations(since 2020)

52

Cited By

6

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Farzaneh Heidari Skills & Research Interests

Network Representation Learning

Machine Learning

Top articles of Farzaneh Heidari

Explaining Graph Neural Networks Using Interpretable Local Surrogates

2023/9/27

Farzaneh Heidari
Farzaneh Heidari

H-Index: 2

Guillaume Rabusseau
Guillaume Rabusseau

H-Index: 7

Microscopic modeling of spatiotemporal epidemic dynamics

2022/11/1

A Mobility-based Recommendation System for Mitigating the Risk of Infection during Epidemics

2022/6/6

Epidemic spreading in trajectory networks

Big Data Research

2022/2/28

Evolving network representation learning based on random walks

Applied network science

2020/3/18

Farzaneh Heidari
Farzaneh Heidari

H-Index: 2

Manos Papagelis
Manos Papagelis

H-Index: 10

See List of Professors in Farzaneh Heidari University(York University)