Sudhanshu Chanpuriya

According to our database, Sudhanshu Chanpuriya authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design.

Bojian Hou, Xiaolong Liu, Xiaoyi Liu, Jiaqi Xu, Yasmine Badr, Mengyue Hang, Sudhanshu Chanpuriya, Junqing Zhou, Yuhang Yang, Han Xu, Qiuling Suo, Laming Chen, Yuxi Hu, Jiasheng Zhang, Huaqing Xiong, Yuzhen Huang, Chao Chen, Yue Dong, Yi Yang, Shuo Chang, Xiaorui Gan, Wenlin Chen, Santanu Kolay, Darren Liu, Jade Nie, Chunzhi Yang, Ellie Wen, Jiyan Yang, Huayu Li

CoRR, February, 2026

2024

On the Role of Edge Dependency in Graph Generative Models.

Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Latent Random Steps as Relaxations of Max-Cut, Min-Cut, and More.

Sudhanshu Chanpuriya, Cameron Musco

CoRR, 2023

Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings.

Sudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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 Musco

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Simplified Graph Convolution with Heterophily.

Sudhanshu Chanpuriya, Cameron Musco

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

An Interpretable Graph Generative Model with Heterophily.

Sudhanshu Chanpuriya, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco

CoRR, 2021

On the Power of Edge Independent Graph Models.

Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DeepWalking Backwards: From Embeddings Back to Graphs.

Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Node Embeddings and Exact Low-Rank Representations of Complex Networks.

Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity.

Sudhanshu Chanpuriya, Cameron Musco

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020