Yimeng Min

According to our database, Yimeng Min authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Permutation Picture of Graph Combinatorial Optimization Problems.

Yimeng Min

CoRR, 2024

Comment on paper: Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems.

Yimeng Min

CoRR, 2024

On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problem.

Yimeng Min, Carla P. Gomes

CoRR, 2024

2023

Unsupervised Learning for Solving the Travelling Salesman Problem.

Yimeng Min, Yiwei Bai, Carla P. Gomes

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Physically Informed Graph-Based Deep Reasoning Net for Efficient Combinatorial Phase Mapping.

Yimeng Min, Ming-Chiang Chang, Shufeng Kong, John M. Gregoire, R. Bruce van Dover, Michael O. Thompson, Carla P. Gomes

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Can Hybrid Geometric Scattering Networks Help Solve the Maximal Clique Problem?

Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf

CoRR, 2022

Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks.

Frederik Wenkel, Yimeng Min, Matthew J. Hirn, Michael Perlmutter, Guy Wolf

CoRR, 2022

Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?

Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Geometric Scattering Attention Networks.

Yimeng Min, Frederik Wenkel, Guy Wolf

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Persistent Neurons.

Yimeng Min

CoRR, 2020

Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks.

Yimeng Min, Frederik Wenkel, Guy Wolf

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Predicting ice flow using machine learning.

Yimeng Min, S. Karthik Mukkavilli, Yoshua Bengio

CoRR, 2019