Chanpuriya, Sudhanshu

8 publications

ICML 2024 On the Role of Edge Dependency in Graph Generative Models Sudhanshu Chanpuriya, Cameron N Musco, Konstantinos Sotiropoulos, Charalampos Tsourakakis

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

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

ICMLW 2023 Latent Random Steps as Relaxations of Max-Cut, Min-Cut, and More Sudhanshu Chanpuriya, Cameron N Musco

NeurIPS 2022 Simplified Graph Convolution with Heterophily Sudhanshu Chanpuriya, Cameron Musco

ICML 2021 DeepWalking Backwards: From Embeddings Back to Graphs Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos Tsourakakis

NeurIPS 2021 On the Power of Edge Independent Graph Models Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos Tsourakakis

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