Masoud Reyhani Hamedani

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 16

Top Topics

Scientific Papers

Parameter Tuning

Graph Embedding

Top Venues

IEICE Trans. Inf. Syst.

Publications

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)
Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim
GELTOR: A Graph Embedding Method based on Listwise Learning to Rank. WWW (2023)
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)
Masoud Reyhani Hamedani, Sang-Wook Kim
AdaSim: A Recursive Similarity Measure in Graphs. CIKM (2021)
Masoud Reyhani Hamedani, Sang-Wook Kim
Embedding Methods or Link-based Similarity Measures, Which is Better for Link Prediction? IC-NIDC (2021)
Masoud Reyhani Hamedani, Sang-Wook Kim
JacSim*: An Effective and Efficient Solution to the Pairwise Normalization Problem in SimRank. IEEE Access 9 (2021)
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) (2021)
Masoud Reyhani Hamedani, Sang-Wook Kim
Pairwise normalization in SimRank variants: problem, solution, and evaluation. SAC (2019)
Masoud Reyhani Hamedani, Gyoosik Kim, Seong-je Cho
SimAndro: an effective method to compute similarity of Android applications. Soft Comput. 23 (17) (2019)
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 (2018)
Masoud Reyhani Hamedani, Sang-Wook Kim
JacSim: An accurate and efficient link-based similarity measure in graphs. Inf. Sci. 414 (2017)
Masoud Reyhani Hamedani, Sang-Wook Kim
SimRank and its variants in academic literature data: measures and evaluation. SAC (2016)
Masoud Reyhani Hamedani, Sang-Wook Kim
SimCC-AT: A Method to Compute Similarity of Scientific Papers with Automatic Parameter Tuning. SIGIR (2016)
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. (2016)
Masoud Reyhani Hamedani
An efficient and effective link-based similarity measure in social and information networks: student research abstract. SAC (2016)
Masoud Reyhani Hamedani, Sang-Wook Kim
SimCS: An Effective Method to Compute Similarity of Scientific Papers Based on Contribution Scores. IEICE Trans. Inf. Syst. (12) (2015)
Masoud Reyhani Hamedani, Sang-Wook Kim
On Computing Similarity in Academic Literature Data: Methods and Evaluation. WAIM Workshops (2014)
Masoud Reyhani Hamedani, Sang-Chul Lee, Sang-Wook Kim
On combining text-based and link-based similarity measures for scientific papers. RACS (2013)
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)