Name: Masoud Reyhani Hamedani
Type: User
Company: Hanyang University
Bio: Ph.D. in data science, skilled in data science, deep learning, graph embedding, similarity computation in graphs, link/text mining, software design/development.
Location: Seoul, Korea
Masoud Reyhani Hamedani's Projects
Python source code of AdaSim, a recursive similarity measure in graphs based on classic Adamic/Adar
sleepy plugin for amarok music player
Python source code and data for ELTRA, a double-vector embedding method to preserve asymmetric information in directed graphs
Python source code and data for GELTOR, agraph embedding method based on listwise learning to rank
python implementations of SimRank, SimRank*, JacSim, and JPRank.
Python source code of JacSim*, a link-based similarity measure providing a solution to the pairwise normalization problem in SimRank
Instruction on installing tensorflow-gpu/cpu on Fedora linux