Training Heterogeneous Graph Neural Networks using Bandit Sampling

Author:

Wang Ta-Yang1ORCID,Kannan Rajgopal2ORCID,Prasanna Viktor1ORCID

Affiliation:

1. University of Southern California, Los Angeles, CA, USA

2. DEVCOM Army Research Lab, Los Angeles, CA, USA

Funder

ARL

NSF

Publisher

ACM

Reference19 articles.

1. SIAM journal on computing;Auer Peter,2002

2. Ghadir Ayache , Thomas Hugues , Chris Xu , Julia Zhang , and Diane Hu . 2022 . Adaptive Bandit Cluster Selection for Graph Neural Networks. In 2022 56th Asilomar Conference on Signals, Systems, and Computers. IEEE, 1385--1392 . Ghadir Ayache, Thomas Hugues, Chris Xu, Julia Zhang, and Diane Hu. 2022. Adaptive Bandit Cluster Selection for Graph Neural Networks. In 2022 56th Asilomar Conference on Signals, Systems, and Computers. IEEE, 1385--1392.

3. Cenk Baykal , Vamsi K Potluru , Sameena Shah , and Manuela M Veloso . 2022. Bandit Sampling for Multiplex Networks. arXiv preprint arXiv:2202.03621 ( 2022 ). Cenk Baykal, Vamsi K Potluru, Sameena Shah, and Manuela M Veloso. 2022. Bandit Sampling for Multiplex Networks. arXiv preprint arXiv:2202.03621 (2022).

4. Jie Chen , Tengfei Ma , and Cao Xiao . 2018. Fastgcn: fast learning with graph convolutional networks via importance sampling. arXiv preprint arXiv:1801.10247 ( 2018 ). Jie Chen, Tengfei Ma, and Cao Xiao. 2018. Fastgcn: fast learning with graph convolutional networks via importance sampling. arXiv preprint arXiv:1801.10247 (2018).

5. Xia Chen , Guoxian Yu , Jun Wang , Carlotta Domeniconi , Zhao Li , and Xiangliang Zhang . 2019 . Activehne: Active heterogeneous network embedding. arXiv preprint arXiv:1905.05659 (2019). Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, and Xiangliang Zhang. 2019. Activehne: Active heterogeneous network embedding. arXiv preprint arXiv:1905.05659 (2019).

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