Shenghao Yang

According to our database, Shenghao Yang authored at least 10 papers between 2020 and 2023.

Collaborative distances:

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

2023

Graph Attention Retrospective.

Kimon Fountoulakis, Amit Levi, Shenghao Yang, Aseem Baranwal, Aukosh Jagannath

J. Mach. Learn. Res., 2023

Local Graph Clustering with Noisy Labels.

Artur Back de Luca, Kimon Fountoulakis, Shenghao Yang

CoRR, 2023

Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees.

Shenghao Yang, Kimon Fountoulakis

Proceedings of the International Conference on Machine Learning, 2023

Equivariant Hypergraph Diffusion Neural Operators.

Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

On Classification Thresholds for Graph Attention with Edge Features.

Kimon Fountoulakis, Dake He, Silvio Lattanzi, Bryan Perozzi, Anton Tsitsulin, Shenghao Yang

CoRR, 2022

2021

Parallel and Communication Avoiding Least Angle Regression.

Swapnil Das, James Demmel, Kimon Fountoulakis, Laura Grigori, Michael W. Mahoney, Shenghao Yang

SIAM J. Sci. Comput., 2021

Targeted pandemic containment through identifying local contact network bottlenecks.

Shenghao Yang, Priyabrata Senapati, Di Wang, Chris T. Bauch, Kimon Fountoulakis

PLoS Comput. Biol., 2021

Local Hyper-Flow Diffusion.

Kimon Fountoulakis, Pan Li, Shenghao Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Split cuts from sparse disjunctions.

Ricardo Fukasawa, Laurent Poirrier, Shenghao Yang

Math. Program. Comput., 2020

p-Norm Flow Diffusion for Local Graph Clustering.

Kimon Fountoulakis, Di Wang, Shenghao Yang

Proceedings of the 37th International Conference on Machine Learning, 2020