Issue #129
July 4, 2021
This weeks Data Science Book is " Graph Representation Learning " by W. Hamilton. This short (141 pages) book gives a grounded, well-written, and to the point introduction to representation learning for graphs that helps you grasp the fundamental concepts as well understand when to and when not to. The extensive bibliography provides entry points for further study for the motivated reader. The algorithm descriptions are clear and intuitive in a way that will give you a leg up to implement pre-existing algorithm and even develop your own variations.
- 1. NFT's Aren't the Answer to the IRL Problems of Digital Art [jacquescorbytuech.com]
- 2. Signatures: The foundations of modern end-to-end encryption [kerkour.com]
- 3. Blockchain 101: The Simplest Guide You Will Ever Read [velotio.com]
- 4. An oral history of Bank Python [calpaterson.com]
- 5. All Machine Learning Algorithms You Should Know in 2022 [towardsdatascience.com]
- 6. The decline of unfettered research [dtc.umn.edu]
- 7. It’s Mostly a Demand Shock, Not a Supply Shock, and It’s Everywhere [bridgewater.com]
- • Robust Dynamic Clustering for Temporal Networks (J. You, C. Hu, H. Kamigaito, K. Funakoshi, M. Okumura)
- • Identification and prioritization of urban traffic bottlenecks (N. Serok, S. Havlin, E. B. Lieberthal)
- • Effective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulation (A. M. Mercier, S. V. Scarpino, C. Moore)
- • Revealing the Global Linguistic and Geographical Disparities of Public Awareness to Covid-19 Outbreak through Social Media (B. Lin, L. Zou, N. Duffield, A. Mostafavi, H. Cai, B. Zhou, J. Tao, M. Yang, D. Mandal, J. Abedin)
- • NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework (X. Yao, Y. Zheng, X. Yang, Z. Yang)
- • Learning Time-Varying Graphs from Online Data (A. Natali, E. Isufi, M. Coutino, G. Leus)
- • Machine Learning from a Bayesian Perspective (M. E. Khan)
- • A Survey of Visual Transformers (Y. Liu, Y. Zhang, Y. Wang, F. Hou, J. Yuan, J. Tian, Y. Zhang, Z. Shi, J. Fan, Z. He)
Word With Python
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