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ORCIDMasoud Reyhani Hamedani
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2020 – today
- 2024
[c12]Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim:
Random-Walk-Based or Similarity-Based Methods, Which is Better for Directed Graph Embedding? BigComp 2024: 83-89- 2023
- [c11]Masoud Reyhani Hamedani
, Jin-Su Ryu, Sang-Wook Kim:
ELTRA: An Embedding Method based on Learning-to-Rank to Preserve Asymmetric Information in Directed Graphs. CIKM 2023: 2116-2125 - [c10]Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim:
GELTOR: A Graph Embedding Method based on Listwise Learning to Rank. WWW 2023: 6-16 - 2021
- [j7]Masoud Reyhani Hamedani, Sang-Wook Kim:
JacSim*: An Effective and Efficient Solution to the Pairwise Normalization Problem in SimRank. IEEE Access 9: 146038-146049 (2021) - [j6]Masoud Reyhani Hamedani, Irfan Ali, Jiwon Hong, Sang-Wook Kim:
TrustRec: An effective approach to exploit implicit trust and distrust relationships along with explicitones for accurate recommendations. Comput. Sci. Inf. Syst. 18(1): 93-114 (2021) - [c9]Masoud Reyhani Hamedani, Sang-Wook Kim:
AdaSim: A Recursive Similarity Measure in Graphs. CIKM 2021: 1528-1537 - [c8]Masoud Reyhani Hamedani, Sang-Wook Kim:
Embedding Methods or Link-based Similarity Measures, Which is Better for Link Prediction? IC-NIDC 2021: 378-382
2010 – 2019
- 2019
- [j5]Masoud Reyhani Hamedani, Gyoosik Kim, Seong-je Cho:
SimAndro: an effective method to compute similarity of Android applications. Soft Comput. 23(17): 7569-7590 (2019) - [c7]Masoud Reyhani Hamedani, Sang-Wook Kim:
Pairwise normalization in SimRank variants: problem, solution, and evaluation. SAC 2019: 534-541 - 2018
- [j4]Masoud Reyhani Hamedani, Dongjin Shin, Myeonggeon Lee, Seong-je Cho, Changha Hwang:
AndroClass: An Effective Method to Classify Android Applications by Applying Deep Neural Networks to Comprehensive Features. Wirel. Commun. Mob. Comput. 2018: 1250359:1-1250359:21 (2018) - 2017
- [j3]Masoud Reyhani Hamedani, Sang-Wook Kim:
JacSim: An accurate and efficient link-based similarity measure in graphs. Inf. Sci. 414: 203-224 (2017) - 2016
- [j2]Masoud Reyhani Hamedani, Sang-Wook Kim, Dong-Jin Kim:
SimCC: A novel method to consider both content and citations for computing similarity of scientific papers. Inf. Sci. 334-335: 273-292 (2016) - [c6]Masoud Reyhani Hamedani:
An efficient and effective link-based similarity measure in social and information networks: student research abstract. SAC 2016: 908-909 - [c5]Masoud Reyhani Hamedani, Sang-Wook Kim:
SimRank and its variants in academic literature data: measures and evaluation. SAC 2016: 1102-1107 - [c4]Masoud Reyhani Hamedani, Sang-Wook Kim:
SimCC-AT: A Method to Compute Similarity of Scientific Papers with Automatic Parameter Tuning. SIGIR 2016: 1005-1008 - 2015
- [j1]Masoud Reyhani Hamedani, Sang-Wook Kim:
SimCS: An Effective Method to Compute Similarity of Scientific Papers Based on Contribution Scores. IEICE Trans. Inf. Syst. 98-D(12): 2328-2332 (2015) - 2014
- [c3]Masoud Reyhani Hamedani, Sang-Wook Kim:
On Computing Similarity in Academic Literature Data: Methods and Evaluation. WAIM Workshops 2014: 403-412 - 2013
- [c2]Masoud Reyhani Hamedani, Sang-Wook Kim, Sang-Chul Lee, Dong-Jin Kim:
On exploiting content and citations together to compute similarity of scientific papers. CIKM 2013: 1553-1556 - [c1]Masoud Reyhani Hamedani, Sang-Chul Lee, Sang-Wook Kim:
On combining text-based and link-based similarity measures for scientific papers. RACS 2013: 111-115
Coauthor Index
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