Publications

Simplified Graph Convolution with Heterophily
Sudhanshu Chanpuriya and Cameron Musco.
In submission.
arXiv

An Interpretable Graph Generative Model with Heterophily
Sudhanshu Chanpuriya, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Zhao Song, and Cameron Musco.
In submission.
arXiv

On the Power of Edge Independent Graph Models
Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, and Charalampos Tsourakakis.
Neural Information Processing Systems (NeurIPS) 2021.
arXiv | GitHub

DeepWalking Backwards: From Embeddings Back to Graphs
Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, and Charalampos Tsourakakis.
International Conference on Machine Learning (ICML) 2021.
arXiv | GitHub

Node Embeddings and Exact Low-Rank Representations of Complex Networks
Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, and Charalampos Tsourakakis.
Neural Information Processing Systems (NeurIPS) 2020.
arXiv | GitHub

InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity
Sudhanshu Chanpuriya and Cameron Musco.
Knowledge Discovery and Data Mining (KDD) 2020.
arXiv | GitHub