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Mahdi Hajiabadi
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2020 – today
- 2022
- [b1]Mahdi Hajiabadi:
Efficient Graph Summarization of Large Networks. University of Victoria, Canada, 2022 - [j3]Hamed Vahdat-Nejad
, Fatemeh Salmani, Mahdi Hajiabadi, Faezeh Azizi
Extracting Feelings of People Regarding COVID-19 by Social Network Mining. J. Inf. Knowl. Manag. 21(Supplement-1): 2240008:1-2240008:16 (2022) - [c3]Mahdi Hajiabadi, Venkatesh Srinivasan, Alex Thomo:
Dynamic Graph Summarization: Optimal and Scalable. IEEE Big Data 2022: 545-554 - 2021
- [j2]Hadi Zare
Detection of Community Structures in Networks With Nodal Features based on Generative Probabilistic Approach. IEEE Trans. Knowl. Data Eng. 33(7): 2863-2874 (2021) - [c2]Mahdi Hajiabadi, Jasbir Singh, Venkatesh Srinivasan, Alex Thomo:
Graph Summarization with Controlled Utility Loss. KDD 2021: 536-546 - [c1]Quinton Yong, Mahdi Hajiabadi, Venkatesh Srinivasan, Alex Thomo:
Efficient Graph Summarization using Weighted LSH at Billion-Scale. SIGMOD Conference 2021: 2357-2365 - [i4]Hamed Vahdat-Nejad, Fatemeh Salmani, Mahdi Hajiabadi, Faezeh Azizi, Sajedeh Abbasi, Mohadese Jamalian, Reyhane Mosafer, Hamideh Hajiabadi:
Extracting Feelings of People Regarding COVID-19 by Social Network Mining. CoRR abs/2110.06151 (2021) - 2020
- [i3]Mahdi Hajiabadi, Jasbir Singh, Venkatesh Srinivasan, Alex Thomo:
Utility-Based Graph Summarization: New and Improved. CoRR abs/2006.08949 (2020)
2010 – 2019
- 2019
- [i2]Hadi Zare, Mahdi Hajiabadi, Mahdi Jalili:
Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach. CoRR abs/1912.11420 (2019) - 2017
- [j1]Mahdi Hajiabadi, Hadi Zare
IEDC: An integrated approach for overlapping and non-overlapping community detection. Knowl. Based Syst. 123: 188-199 (2017) - 2016
- [i1]Mahdi Hajiabadi, Hadi Zare, Hossein Bobarshad:
IEDC: An Integrated Approach for Overlapping and Non-overlapping Community Detection. CoRR abs/1612.04679 (2016)
Coauthor Index
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