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followers: 52.0 following: 3.0 repos: 9.0 gists: 0.0

Name: Zahra Taheri

Type: User

Company: TaheriAI Lab & Machine Learning and Graph Mining Lab & Shahid Beheshti University

Bio: Lead @taheriai Lab | Associate Researcher @ MLGM Lab | Addressing Complex Challenges through Deep Learning, GNNs, LLMs & Knowledge Graphs | PhD in Math

Hi there 👋

🙂 My name is Zahra Taheri.

🌱 I received my Ph.D. in Mathematics in 2020. Then as a postdoctoral fellow, I collaborated on a project at the Data Science Center of Shahid Beheshti University. Currently, I work as a lecturer at Shahid Beheshti University and as a researcher at Machine Learning and Graph Mining Lab.

❤️‍🔥 I am PASSIONATE about programming and artificial intelligence and I would like to use my skills in math to solve real-world problems.

🔭 My current research interests focus on some applications of deep learning, reinforcement learning, graph machine learning, and knowledge graphs in molecular property prediction, computational proteomics, and drug discovery.

Where to find me

Gmail ResearchGate LinkedIn

Zahra Taheri's Projects

covid-19-project icon covid-19-project

The main focus of this project is to visualize the spreading of the Coronavirus and to perform machine learning, time series, and deep learning algorithms on the COVID-19 data to anticipate the future effects of the pandemic. Moreover, we study the impact of some other parameters in predicting COVID-19 spread.

deep-learning icon deep-learning

In this repository, I have written some of my experiences in studying deep learning. Also, I have included some good resources and some of my exercises and educational projects. Furthermore, some good references about graph neural networks (GNNs) have been added.

exercises-understanding-machine-learning icon exercises-understanding-machine-learning

In this repository, you can find my solutions to some exercises of the book "Understanding Machine Learning From Theory to Algorithms" by Shai Shalev-Shwartz and Shai Ben-David.

funqg icon funqg

This repository contains codes and data related to the paper "FunQG: Molecular Representation Learning Via Quotient Graphs". A pre-print version of this paper is currently available at

graph_ml icon graph_ml

Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation learning and graph neural networks, algorithms for the world wide web, reasoning over knowledge graphs, and social network analysis.

machine-learning icon machine-learning

In this repository, I have written about my experiences in studying Machine learning. Also, I have included the solutions of some Machine learning exercises and my educational projects.

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