About

I currently studying graduated programme in Computer Sciences and Applied Mathematics (two distinguished Master programmes) at the University of Science, Vietnam National University, HCMC. In the Computer Sciences graduated programme, I have fortunately supervised by Prof. PhD. Le Hoai Bac on the topic of reasoning on temporal knowledge graphs.

Before joining graduated program, I earned my Bachelor’s Degree in Computer Science, with the supervision from Dr. Le Ngoc Thanh on the topic of Knowledge graph completion based on Convolutional Neural Networks.

My primary research focus is on graph mining, particularly in the area of knowledge graphs, including challenges related to completion and reasoning. In addition to this, I possess a deep interest in theoretical computer science—covering areas such as graph theory and its applications—as well as in mathematics, where my passions lie in mathematical programming, numerical methods, and topics related to probability.

For more contact information:

• Curriculum Vitae (English)
• Dblp;
• Google Scholar;
• OpenReview;
• Github lnhutnam;
• Google gmail: nam [dot] lnhut [at] gmail [dot] com
• Social networks: Mastodon, Twitter

Some internal-links:

1. Miscellanea: External links, Resources.
2. Mathematics: Mathemtics resources.

Journal publications

[1] Le, Thanh, Nam Le, and Bac Le. “Knowledge graph embedding by relational rotation and complex convolution for link prediction.” Expert Systems with Applications 214 (2023): 119122. (ISI, Q1, IF: 8.6 2023)

Conference publications

[1] Le, Thanh, Nam Le, and Bac Le. “Embedding Model with Attention over Convolution Kernels and Dynamic Mapping Matrix for Link Prediction.” In Asian Conference on Intelligent Information and Database Systems, pp. 234-246. Springer, Cham, 2022. (Rank B, CORERANK 2021)

Theses/ Proposal Documents

[1] Phan Anh-Hao, Le Nhut-Nam, Undergraduated thesis: Link prediction on knowledge graphs based-on Convolutional Neural Networks, Faculty of Information Technology, University of Science, Vietnam National University, Ho Chi Minh City, 07/2022. (9.75/ 10.0 - without bonus point, 10.0/10.0 with bonus point for publication. Many thanks to Phan Anh-Hao for his main contribution in our method of this thesis.)

[2] Le Nhut-Nam, Graduated thesis proposal: Temporal Knowledge Graph Reasoning based on Reinforcement Learning, Faculty of Information Technology, University of Science, Vietnam National University, Ho Chi Minh City, 04/2024.

Undergraduate mentoring

[1] Senior research student of Knowledge graph team under the supervision of Le Ngoc Thanh from class 2019, 2020, 2021.

Previous talking/ presentation

1. (Vietnamese) Temporal Parallelization of Inference in Hidden Markov Models, Avanced in Machine Learning, Master Course K31
2. (Vietnamese) Knowledge Embedding Based Graph Convolution Network, Deep Learning, Master Course K31
3. (Vietnamese) Optimization techniques for Transformer, Deep Learning, Master Course K31
4. (Vietnamese) Optimization Methods and Regularization, Applied in Machine Learning, Master Course K31
5. (English) Second-Order Optimality Conditions & Some important results in Finite Dimensions, Non-linear Programming, Master Course in Applied Mathematics K33

Previous report

1. (Vietnamese) Approximation Derivatives using Derivatives of Interpolation Polynominal & Finite Difference for Approximation Polynomial Derivatives, Numerical Analysis, Master Course in Applied Mathematics K33