SGD-MLP: Structure Generation and Distillation using a graph free MLP

Author:

Patnala Sanjay Kumar1ORCID,B G Sumedh1ORCID,Sethi Akshay1ORCID,Gupta Sonia1ORCID,Asthana Siddhartha1ORCID

Affiliation:

1. Mastercard AI Garage, India

Publisher

ACM

Reference44 articles.

1. Joan Bruna , Wojciech Zaremba , Arthur Szlam , and Yann LeCun . 2013. Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203 ( 2013 ). Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun. 2013. Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203 (2013).

2. A Comprehensive Survey on Geometric Deep Learning

3. Fast and Accurate Network Embeddings via Very Sparse Random Projection

4. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597–1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597–1607.

5. Ting Chen , Simon Kornblith , Kevin Swersky , Mohammad Norouzi , and Geoffrey  E Hinton . 2020. Big self-supervised models are strong semi-supervised learners. Advances in neural information processing systems 33 ( 2020 ), 22243–22255. Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, and Geoffrey E Hinton. 2020. Big self-supervised models are strong semi-supervised learners. Advances in neural information processing systems 33 (2020), 22243–22255.

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