Link Partitioning on Simplicial Complexes Using Higher-Order Laplacians. - Xinyi Wu 003; Arnab Sarker; Ali Jadbabaie (ICDM, 2022)

A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks. - Xinyi Wu 003; Zhengdao Chen; William Wang; Ali Jadbabaie (CoRR, 2022)

A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks. - Xinyi Wu 003; Zhengdao Chen; William Wei Wang; Ali Jadbabaie (ICLR, 2023)

Demystifying Oversmoothing in Attention-Based Graph Neural Networks. - Xinyi Wu 003; Amir Ajorlou; Zihui Wu; Ali Jadbabaie (NeurIPS, 2023)

On the Role of Attention Masks and LayerNorm in Transformers. - Xinyi Wu 003; Amir Ajorlou; Yifei Wang 001; Stefanie Jegelka; Ali Jadbabaie (NeurIPS, 2024)

GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. - Xinyi Wu 003; Donald Loveland; Runjin Chen; Yozen Liu; Xin Chen 085; Leonardo Neves; Ali Jadbabaie; Clark Mingxuan Ju; Neil Shah; Tong Zhao 003 (CoRR, 2024)

Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs. - Michael Scholkemper; Xinyi Wu 003; Ali Jadbabaie; Michael T. Schaub (ICLR, 2025)

Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank. - Donald Loveland; Xinyi Wu 003; Tong Zhao 003; Danai Koutra; Neil Shah; Mingxuan Ju (WWW, 2025)

GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. - Xinyi Wu 003; Donald Loveland; Runjin Chen; Yozen Liu; Xin Chen 085; Leonardo Neves; Ali Jadbabaie; Mingxuan Ju; Neil Shah; Tong Zhao 003 (WWW, 2025)

On the Emergence of Position Bias in Transformers. - Xinyi Wu 003; Yifei Wang 001; Stefanie Jegelka; Ali Jadbabaie (CoRR, 2025)