Morteza Ramezani

According to our database, Morteza Ramezani authored at least 9 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LiGNN: Graph Neural Networks at LinkedIn.

Fedor Borisyuk, Shihai He, Yunbo Ouyang, Morteza Ramezani, Peng Du, Xiaochen Hou, Chengming Jiang, Nitin Pasumarthy, Priya Bannur, Birjodh Tiwana, Ping Liu, Siddharth Dangi, Daqi Sun, Zhoutao Pei, Xiao Shi, Sirou Zhu, Qianqi Shen, Kuang-Hsuan Lee, David Stein, Baolei Li, Haichao Wei, Amol Ghoting, Souvik Ghosh

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022

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

J. Chem. Inf. Model., 2022

Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks.

Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Mahmut T. Kandemir, Anand Sivasubramaniam

Proceedings of the Tenth International Conference on Learning Representations, 2022

GraphGuess: Approximate Graph Processing System with Adaptive Correction.

Morteza Ramezani, Mahmut T. Kandemir, Anand Sivasubramaniam

Proceedings of the Euro-Par 2022: Parallel Processing, 2022

2021

On the Importance of Sampling in Learning Graph Convolutional Networks.

Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi

CoRR, 2021

On Provable Benefits of Depth in Training Graph Convolutional Networks.

Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

GCN meets GPU: Decoupling "When to Sample" from "How to Sample".

Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Anand Sivasubramaniam, Mahmut T. Kandemir

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2017

Exploring the impact of memory block permutation on performance of a crossbar ReRAM main memory.

Morteza Ramezani, Nima Elyasi, Mohammad Arjomand, Mahmut T. Kandemir, Anand Sivasubramaniam

Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017

2014

CEDAR: Modeling impact of component error derating and read frequency on system-level vulnerability in high-performance processors.

Hossein Asadi, Alireza Haghdoost, Morteza Ramezani, Nima Elyasi, Amirali Baniasadi

Microelectron. Reliab., 2014