Code & Dataset
1. ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models
Code & Dataset: GitHub - cm8908/ContrastCAD
2. Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generation
Code & Dataset: GitHub - DevSlem/Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Reward for Goal-directed Molecular Generation.
3. CNN-Transformer model for TSP
A Lightweight CNN-Transformer Model for Learning Traveling Salesman Problems "
Code & Dataset: GitHub - cm8908/CNN_Transformer3
4. 금요일에 과학터치 인천 코드와 Datset
Code & Dataset: GitHub - cm8908/ScienceTouch_JibumKim_TSP
5. GMR-Net for adaptive mesh refinement
GMR-Net: GCN-based mesh refinement framework for elliptic PDE problems | SpringerLink
Code: Available upon request (jibumkim@inu.ac.kr)
6. ML model for predicting faulty remote water meter reading devices
Code: https://github.com/SouthGiri/Water_AMI/tree/main
Dataset: available upon requrest
7. Training Delaunay triangulation
Learning geometric combinatorial optimization problems using self-attention and domain knowledge
Dataset: https://github.com/hunni10/DelaunayDataset
Code: Available upon request (jibumkim@inu.ac.kr)