GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

Author:

Zhu Zhaocheng1,Xu Shizhen2,Tang Jian3,Qu Meng1

Affiliation:

1. Montr??al Institute for Learning Algorithms, Canada

2. Tsinghua University, China

3. HEC Montr??al / Montr??al Institute for Learning Algorithms, Canada

Publisher

ACM Press

Reference40 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 OSDI, Vol. 16. 265-283.

2. Natural Language Processing Lab at Tsinghua University. 2017. OpenNE: An open source toolkit for Network Embedding. https://github.com/thunlp/OpenNE.

3. Prasad G Bhavana and Vineet C Nair. 2019. BMF: Block matrix approach to factorization of large scale data. arXiv preprint arXiv:1901.00444(2019).

4. Shaosheng Cao, Wei Lu, and Qiongkai Xu. 2015. Grarep: Learning graph representations with global structural information. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. ACM, 891-900.

5. Dan C Ciresan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, and Jürgen Schmidhuber. 2011. Flexible, high performance convolutional neural networks for image classification. In IJCAI Proceedings-International Joint Conference on Artificial Intelligence, Vol. 22. Barcelona, Spain, 1237.

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