Morteza Ramezani

Joined

September 2020

Names

Morteza Ramezani (Preferred)

Emails

****@cse.psu.edu (Confirmed)

****@gmail.com (Confirmed)

****@linkedin.com (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

PhD student

Pennsylvania State University (psu.edu)

2015 – 2022

Advisors, Relations & Conflicts

No relations added

Expertise

Graph Neural Networks

2018 – 2023

Publications

GraphGuess: Approximate Graph Processing System with Adaptive Correction
Morteza Ramezani, Mahmut T. Kandemir, Anand Sivasubramaniam
- 2022 (modified: 17 Apr 2023)
- Euro-Par 2022
- Readers: Everyone
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks
Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Mahmut T. Kandemir, Anand Sivasubramaniam
- 2022 (modified: 17 Apr 2023)
- ICLR 2022
- Readers: Everyone
Predicting Protein-Ligand Docking Structure with Graph Neural Network
Huaipan Jiang, Jian Wang, Weilin Cong, Yihe Huang, Morteza Ramezani, Anup Sarma, Nikolay V. Dokholyan, Mehrdad Mahdavi, Mahmut T. Kandemir
- 2022 (modified: 17 Apr 2023)
- J. Chem. Inf. Model. 2022
- Readers: Everyone
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks
Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Mahmut Kandemir, Anand Sivasubramaniam
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Poster
- Readers: Everyone
On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks
Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Mahmut T. Kandemir, Anand Sivasubramaniam
- 2021 (modified: 30 Mar 2022)
- CoRR 2021
- Readers: Everyone
On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi
- 2021 (modified: 30 Mar 2022)
- CoRR 2021
- Readers: Everyone
On the Importance of Sampling in Learning Graph Convolutional Networks
Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi
- 2021 (modified: 30 Mar 2022)
- CoRR 2021
- Readers: Everyone
On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi
- 2021 (modified: 17 Apr 2023)
- NeurIPS 2021
- Readers: Everyone
GraphGuess: Approximate Graph Processing System with Adaptive Correction
Morteza Ramezani, Anand Sivasubramaniam, Mahmut T. Kandemir
- 2021 (modified: 17 Apr 2023)
- CoRR 2021
- Readers: Everyone

View all 14 publications