Bibliography
Bibliography Abadi, Mart´ın, Agarwal, Ashish, Barham, Paul, Brevdo, Eugene, Chen, Zhifeng, Citro, Craig, Corrado, Greg S., Davis, Andy, Dean, Jeffrey, Devin, Matthieu, Ghe- mawat, Sanjay, Goodfellow, Ian, Harp, Andrew, Irving, Geoffrey, Isard, Michael, Jia, Yangqing, Jozefowicz, Rafal, Kaiser, Lukasz, Kudlur, Manjunath, Leven- berg, Josh, Mane,´ Dandelion, Monga, Rajat, Moore, Sherry, Murray, Derek, Olah, Chris, Schuster, Mike, Shlens, Jonathon, Steiner, Benoit, Sutskever, Ilya, Talwar, Kunal, Tucker, Paul, Vanhoucke, Vincent, Vasudevan, Vijay, Viegas,´ Fernanda, Vinyals, Oriol, Warden, Pete, Wattenberg, Martin, Wicke, Martin, Yu, Yuan, and Zheng, Xiaoqiang. 2015. TensorFlow: Large-Scale Machine Learning on Hetero- geneous Systems. Software available from tensorflow.org. Adamic, Lada A, and Adar, Eytan. 2003. Friends and neighbors on the web. Social networks, 25(3), 211–230. Afsar Minhas, Fayyaz ul Amir, Geiss, Brian J, and Ben-Hur, Asa. 2014. PAIRpred: Partner-specific prediction of interacting residues from sequence and structure. Proteins: Structure, Function, and Bioinformatics, 82(7), 1142–1155. Aggarwal, Charu C. 2018. Neural networks and deep learning. Springer, 10, 978–3. Allamanis, Miltiadis, Brockschmidt, Marc, and Khademi, Mahmoud. 2017. Learning to represent programs with graphs. arXiv preprint arXiv:1711.00740. Andersen, Reid, Chung, Fan, and Lang, Kevin. 2006. Local graph partitioning using pagerank vectors. Pages 475–486 of: 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS’06). IEEE. Atwood, James, and Towsley, Don. 2016. Diffusion-convolutional neural networks. Pages 1993–2001 of: Advances in neural information processing systems. Babai, Laszl´ o.´ 2016. Graph isomorphism in quasipolynomial time. Pages 684–697 of: Proceedings of the forty-eighth annual ACM symposium on Theory of Computing.
[Show full text]