Sudhanshu Chanpuriya

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

2023

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

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[DOI]

CoRR, 2023

Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings.

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[DOI]

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.

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[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Simplified Graph Convolution with Heterophily.

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[DOI]

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.

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[DOI]

CoRR, 2021

On the Power of Edge Independent Graph Models.

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[DOI]

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.

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[DOI]

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

2020

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

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[DOI]

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.

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[DOI]