| Node embeddings and exact low-rank representations of complex networks S Chanpuriya, C Musco, K Sotiropoulos, C Tsourakakis Advances in neural information processing systems 33, 13185-13198, 2020 | 45 | 2020 |
| Infinitewalk: Deep network embeddings as laplacian embeddings with a nonlinearity S Chanpuriya, C Musco Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 43 | 2020 |
| Simplified graph convolution with heterophily S Chanpuriya, C Musco Advances in Neural Information Processing Systems 35, 27184-27197, 2022 | 32 | 2022 |
| On the power of edge independent graph models S Chanpuriya, C Musco, K Sotiropoulos, C Tsourakakis Advances in Neural Information Processing Systems 34, 24418-24429, 2021 | 19 | 2021 |
| Deepwalking backwards: from embeddings back to graphs S Chanpuriya, C Musco, K Sotiropoulos, C Tsourakakis International conference on machine learning, 1473-1483, 2021 | 17 | 2021 |
| Direct embedding of temporal network edges via time-decayed line graphs S Chanpuriya, RA Rossi, S Kim, T Yu, J Hoffswell, N Lipka, S Guo, ... arXiv preprint arXiv:2210.00032, 2022 | 8 | 2022 |
| Exact representation of sparse networks with symmetric nonnegative embeddings S Chanpuriya, R Rossi, AB Rao, T Mai, N Lipka, Z Song, C Musco Advances in Neural Information Processing Systems 36, 2024 | 5* | 2024 |
| Building time-decayed line graphs for direct embedding of continuous-timed interactions in generating time-aware recommendations R Rossi, E Koh, J Hoffswell, N Lipka, S Guo, S Chanpuriya, S Kim, T Yu US Patent App. 18/183,387, 2024 | | 2024 |
| Generative graph modeling framework S Chanpuriya, RA Rossi, N Lipka, AB Rao, T Mai, S Zhao US Patent App. 18/051,364, 2024 | | 2024 |
| On the role of edge dependency in graph generative models S Chanpuriya, C Musco, K Sotiropoulos, C Tsourakakis arXiv preprint arXiv:2312.03691, 2023 | | 2023 |
| Latent Random Steps as Relaxations of Max-Cut, Min-Cut, and More S Chanpuriya, C Musco arXiv preprint arXiv:2308.06448, 2023 | | 2023 |
| Foundations of Node Representation Learning S Chanpuriya | | 2023 |
