Yang, Shenghao

9 publications

ICML 2025 Positional Attention: Expressivity and Learnability of Algorithmic Computation Artur Back De Luca, George Giapitzakis, Shenghao Yang, Petar Veličković, Kimon Fountoulakis

ICLR 2024 Local Graph Clustering with Noisy Labels Artur Back de Luca, Kimon Fountoulakis, Shenghao Yang

ICLR 2024 Polynomial Width Is Sufficient for Set Representation with High-Dimensional Features Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li

ICLR 2023 Equivariant Hypergraph Diffusion Neural Operators Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li

JMLR 2023 Graph Attention Retrospective Kimon Fountoulakis, Amit Levi, Shenghao Yang, Aseem Baranwal, Aukosh Jagannath

ICML 2023 Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: An Algorithm and Statistical Guarantees Shenghao Yang, Kimon Fountoulakis

COLT 2022 Open Problem: Running Time Complexity of Accelerated $\ell_1$-Regularized PageRank Kimon Fountoulakis, Shenghao Yang

NeurIPS 2021 Local Hyper-Flow Diffusion Kimon Fountoulakis, Pan Li, Shenghao Yang

ICML 2020 P-Norm Flow Diffusion for Local Graph Clustering Kimon Fountoulakis, Di Wang, Shenghao Yang