On exploiting content and citations together to compute similarity of scientific papers. - Masoud Reyhani Hamedani; Sang-Wook Kim; Sang-Chul Lee 001; Dong-Jin Kim 002 (CIKM, 2013)

On combining text-based and link-based similarity measures for scientific papers. - Masoud Reyhani Hamedani; Sang-Chul Lee 001; Sang-Wook Kim (RACS, 2013)

On Computing Similarity in Academic Literature Data: Methods and Evaluation. - Masoud Reyhani Hamedani; Sang-Wook Kim (WAIM Workshops, 2014)

SimCS: An Effective Method to Compute Similarity of Scientific Papers Based on Contribution Scores. - Masoud Reyhani Hamedani; Sang-Wook Kim (IEICE Trans. Inf. Syst., 2015)

An efficient and effective link-based similarity measure in social and information networks: student research abstract. - Masoud Reyhani Hamedani (SAC, 2016)

SimRank and its variants in academic literature data: measures and evaluation. - Masoud Reyhani Hamedani; Sang-Wook Kim (SAC, 2016)

SimCC-AT: A Method to Compute Similarity of Scientific Papers with Automatic Parameter Tuning. - Masoud Reyhani Hamedani; Sang-Wook Kim (SIGIR, 2016)

SimCC: A novel method to consider both content and citations for computing similarity of scientific papers. - Masoud Reyhani Hamedani; Sang-Wook Kim; Dong-Jin Kim 002 (Inf. Sci., 2016)

JacSim: An accurate and efficient link-based similarity measure in graphs. - Masoud Reyhani Hamedani; Sang-Wook Kim (Inf. Sci., 2017)

AndroClass: An Effective Method to Classify Android Applications by Applying Deep Neural Networks to Comprehensive Features. - Masoud Reyhani Hamedani; Dongjin Shin; Myeonggeon Lee; Seong-je Cho; Changha Hwang (Wirel. Commun. Mob. Comput., 2018)

Pairwise normalization in SimRank variants: problem, solution, and evaluation. - Masoud Reyhani Hamedani; Sang-Wook Kim (SAC, 2019)

SimAndro: an effective method to compute similarity of Android applications. - Masoud Reyhani Hamedani; Gyoosik Kim; Seong-je Cho (Soft Comput., 2019)

AdaSim: A Recursive Similarity Measure in Graphs. - Masoud Reyhani Hamedani; Sang-Wook Kim (CIKM, 2021)

Embedding Methods or Link-based Similarity Measures, Which is Better for Link Prediction? - Masoud Reyhani Hamedani; Sang-Wook Kim (IC-NIDC, 2021)

JacSim*: An Effective and Efficient Solution to the Pairwise Normalization Problem in SimRank. - Masoud Reyhani Hamedani; Sang-Wook Kim (IEEE Access, 2021)

TrustRec: An effective approach to exploit implicit trust and distrust relationships along with explicitones for accurate recommendations. - Masoud Reyhani Hamedani; Irfan Ali; Jiwon Hong; Sang-Wook Kim (Comput. Sci. Inf. Syst., 2021)

ELTRA: An Embedding Method based on Learning-to-Rank to Preserve Asymmetric Information in Directed Graphs. - Masoud Reyhani Hamedani; Jin-Su Ryu; Sang-Wook Kim (CIKM, 2023)

GELTOR: A Graph Embedding Method based on Listwise Learning to Rank. - Masoud Reyhani Hamedani; Jin-Su Ryu; Sang-Wook Kim (WWW, 2023)

Random-Walk-Based or Similarity-Based Methods, Which is Better for Directed Graph Embedding? - Masoud Reyhani Hamedani; Jin-Su Ryu; Sang-Wook Kim (BigComp, 2024)