InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity. - Sudhanshu Chanpuriya; Cameron Musco (KDD, 2020)

Node Embeddings and Exact Low-Rank Representations of Complex Networks. - Sudhanshu Chanpuriya; Cameron Musco; Konstantinos Sotiropoulos; Charalampos E. Tsourakakis (NeurIPS, 2020)

DeepWalking Backwards: From Embeddings Back to Graphs. - Sudhanshu Chanpuriya; Cameron Musco; Konstantinos Sotiropoulos; Charalampos E. Tsourakakis (ICML, 2021)

On the Power of Edge Independent Graph Models. - Sudhanshu Chanpuriya; Cameron Musco; Konstantinos Sotiropoulos; Charalampos E. Tsourakakis (NeurIPS, 2021)

An Interpretable Graph Generative Model with Heterophily. - Sudhanshu Chanpuriya; Ryan A. Rossi; Anup B. Rao; Tung Mai; Nedim Lipka; Zhao Song 002; Cameron Musco (CoRR, 2021)

Simplified Graph Convolution with Heterophily. - Sudhanshu Chanpuriya; Cameron Musco (NeurIPS, 2022)

Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. - Sudhanshu Chanpuriya; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Jane Hoffswell; Nedim Lipka; Shunan Guo; Cameron Musco (ICLR, 2023)

Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings. - Sudhanshu Chanpuriya; Ryan A. Rossi; Anup B. Rao; Tung Mai; Nedim Lipka; Zhao Song 002; Cameron Musco (NeurIPS, 2023)

Latent Random Steps as Relaxations of Max-Cut, Min-Cut, and More. - Sudhanshu Chanpuriya; Cameron Musco (CoRR, 2023)

On the Role of Edge Dependency in Graph Generative Models. - Sudhanshu Chanpuriya; Cameron Musco; Konstantinos Sotiropoulos; Charalampos E. Tsourakakis (ICML, 2024)