Graph Neural Networks in TensorFlow

Author:

Perozzi Bryan1ORCID,Abu-El-Haija Sami2ORCID,Tsitsulin Anton1ORCID

Affiliation:

1. Google Research, New York, USA

2. Google Research, Mountain View, USA

Publisher

ACM

Reference29 articles.

1. Martín Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , 2016 . TensorFlow: A System for Large-Scale Machine Learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16) . 265--283. Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al. 2016. TensorFlow: A System for Large-Scale Machine Learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16). 265--283.

2. Sami Abu-El-Haija , Amol Kapoor , Bryan Perozzi , and Joonseok Lee . 2020 . N-gcn: Multi-scale graph convolution for semi-supervised node classification. In uncertainty in artificial intelligence. PMLR, 841--851. Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, and Joonseok Lee. 2020. N-gcn: Multi-scale graph convolution for semi-supervised node classification. In uncertainty in artificial intelligence. PMLR, 841--851.

3. Learning Edge Representations via Low-Rank Asymmetric Projections

4. Sami Abu-El-Haija , Bryan Perozzi , Rami Al-Rfou , and Alexander A Alemi . 2018. Watch your step: Learning node embeddings via graph attention. Advances in neural information processing systems , Vol. 31 ( 2018 ). Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou, and Alexander A Alemi. 2018. Watch your step: Learning node embeddings via graph attention. Advances in neural information processing systems, Vol. 31 (2018).

5. Sami Abu-El-Haija , Bryan Perozzi , Amol Kapoor , Nazanin Alipourfard , Kristina Lerman , Hrayr Harutyunyan , Greg Ver Steeg , and Aram Galstyan . 2019 . Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing . In international conference on machine learning. PMLR, 21--29 . Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, and Aram Galstyan. 2019. Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing. In international conference on machine learning. PMLR, 21--29.

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