1. Martín Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , Manjunath Kudlur , Josh Levenberg , Rajat Monga , Sherry Moore , Derek Gordon Murray , Benoit Steiner , Paul A. Tucker , Vijay Vasudevan , Pete Warden , Martin Wicke , Yuan Yu , and Xiaoqiang Zheng . 2016 . TensorFlow: A System for Large-Scale Machine Learning. In 12th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2016 , Savannah, GA, USA, November 2--4 , 2016, Kimberly Keeton and Timothy Roscoe (Eds.). USENIX Association, 265--283. Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2016. TensorFlow: A System for Large-Scale Machine Learning. In 12th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2016, Savannah, GA, USA, November 2--4, 2016, Kimberly Keeton and Timothy Roscoe (Eds.). USENIX Association, 265--283.
2. Understanding Training Efficiency of Deep Learning Recommendation Models at Scale
3. Alibaba. 2023. Alibaba/euler : A distributed graph deep learning framework. Retrieved July 5, 2023 from https://github.com/alibaba/euler Alibaba. 2023. Alibaba/euler: A distributed graph deep learning framework. Retrieved July 5, 2023 from https://github.com/alibaba/euler
4. Léon Bottou and Olivier Bousquet . 2007 . The Tradeoffs of Large Scale Learning. In Advances in Neural Information Processing Systems 20 , Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems , Vancouver, British Columbia, Canada, December 3--6 , 2007. 161--168. Léon Bottou and Olivier Bousquet. 2007. The Tradeoffs of Large Scale Learning. In Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3--6, 2007. 161--168.
5. Shaked Brody , Uri Alon , and Eran Yahav . 2022 . How Attentive are Graph Attention Networks? . In The Tenth International Conference on Learning Representations, ICLR 2022 , Virtual Event, April 25--29 , 2022. OpenReview.net. Shaked Brody, Uri Alon, and Eran Yahav. 2022. How Attentive are Graph Attention Networks?. In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25--29, 2022. OpenReview.net.