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Sudhanshu Chanpuriya
Sudhanshu Chanpuriya
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Title
Cited by
Cited by
Year
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
452020
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
402020
Simplified graph convolution with heterophily
S Chanpuriya, C Musco
Advances in Neural Information Processing Systems 35, 27184-27197, 2022
272022
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
192021
Deepwalking backwards: from embeddings back to graphs
S Chanpuriya, C Musco, K Sotiropoulos, C Tsourakakis
International conference on machine learning, 1473-1483, 2021
152021
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
82022
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
3*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, CN Musco, K Sotiropoulos, C Tsourakakis
Forty-first International Conference on Machine Learning, 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
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