7 citations · 11 across the 3 of their papers we have counts for
5 papers
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
Hung Nghiep Tran, Atsuhiro Takasu
Knowledge graph completion is an important task that aims to predict the missing relational link between entities. Knowledge graph embedding methods perform this task by representi…
Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space
Hung Nghiep Tran, Atsuhiro Takasu
The trends of open science have enabled several open scholarly datasets which include millions of papers and authors. Managing, exploring, and utilizing such large and complicated…
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective
Hung Nghiep Tran, Atsuhiro Takasu
Knowledge graph is a popular format for representing knowledge, with many applications to semantic search engines, question-answering systems, and recommender systems. Real-world k…
A Potential Approach to Overcome Data Limitation in Scientific Publication Recommendation
Hung Nghiep Tran, Tin Huynh, Kiem Hoang
Data are essential for the experiments of relevant scientific publication recommendation methods but it is difficult to build ground truth data. A naturally promising solution is u…
Partitioning Algorithms for Improving Efficiency of Topic Modeling Parallelization
Hung Nghiep Tran, Atsuhiro Takasu
Topic modeling is a very powerful technique in data analysis and data mining but it is generally slow. Many parallelization approaches have been proposed to speed up the learning p…