Sudhanshu Chanpuriya

According to our database1, Sudhanshu Chanpuriya authored at least 10 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
On the Role of Edge Dependency in Graph Generative Models.
CoRR, 2023

Latent Random Steps as Relaxations of Max-Cut, Min-Cut, and More.
CoRR, 2023

Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Simplified Graph Convolution with Heterophily.
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.
CoRR, 2021

On the Power of Edge Independent Graph Models.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Node Embeddings and Exact Low-Rank Representations of Complex Networks.
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.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020


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