Global Self-Attention as a Replacement for Graph Convolution-Reference-Cited by-同舟云学术

Global Self-Attention as a Replacement for Graph Convolution

Published:2022-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Hussain Md Shamim¹,Zaki Mohammed J.¹,Subramanian Dharmashankar²

Affiliation:

1. Rensselaer Polytechnic Institute, Troy, NY, USA

2. IBM T. J. Watson Research Center, Yorktown Heights, NY, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539296

Reference46 articles.

1. Jimmy Lei Ba , Jamie Ryan Kiros, and Geoffrey E Hinton . 2016 . Layer normalization. arXiv preprint arXiv:1607.06450 (2016). Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016).

2. Dominique Beani , Saro Passaro , Vincent Létourneau , Will Hamilton , Gabriele Corso , and Pietro Liò . 2021 . Directional graph networks . In International Conference on Machine Learning . PMLR, 748--758 . Dominique Beani, Saro Passaro, Vincent Létourneau, Will Hamilton, Gabriele Corso, and Pietro Liò. 2021. Directional graph networks. In International Conference on Machine Learning . PMLR, 748--758.

3. Laplacian eigenmaps and spectral techniques for embedding and clustering;Belkin Mikhail;Nips,2001

4. Xavier Bresson and Thomas Laurent . 2017. Residual gated graph convnets. arXiv preprint arXiv:1711.07553 ( 2017 ). Xavier Bresson and Thomas Laurent. 2017. Residual gated graph convnets. arXiv preprint arXiv:1711.07553 (2017).

5. Rémy Brossard , Oriel Frigo , and David Dehaene . 2020. Graph convolutions that can finally model local structure. arXiv preprint arXiv:2011.15069 ( 2020 ). Rémy Brossard, Oriel Frigo, and David Dehaene. 2020. Graph convolutions that can finally model local structure. arXiv preprint arXiv:2011.15069 (2020).

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