GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification-Reference-Cited by-同舟云学术

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

Published:2021-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Web Conference 2021
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Author:

Saini Deepak¹,Jain Arnav Kumar²,Dave Kushal³,Jiao Jian³,Singh Amit²,Zhang Ruofei³,Varma Manik⁴

Affiliation:

1. Microsoft Research, India

2. Microsoft, India

3. Microsoft, USA

4. IIT Delhi, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3442381.3449937

Reference60 articles.

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3. R. Babbar and B. Schölkopf. 2017. DiSMEC: Distributed Sparse Machines for Extreme Multi-label Classification. In WSDM. R. Babbar and B. Schölkopf. 2017. DiSMEC: Distributed Sparse Machines for Extreme Multi-label Classification. In WSDM.

4. R. Babbar and B. Schölkopf. 2019. Data scarcity robustness and extreme multi-label classification. ML (2019). R. Babbar and B. Schölkopf. 2019. Data scarcity robustness and extreme multi-label classification. ML (2019).

5. D. Bahdanau K. Cho and Y. Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014). D. Bahdanau K. Cho and Y. Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014).

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