Issue #155

May 16, 2022

This weeks Data Science Book is " The Practitioner's Guide to Graph Data " by D. K. Gosnell and M. Broecheler. Graph Thinking and Graph Data are topics near and dear to our hearts here at D4Sci (checkout G4Sci if you haven't yet) and this book does an excellent job of introducing both fundamental and advanced topics and techniques using practical real world datasets and state of the art graph databases. The book is exceptionally well written and easy to follow, with practical "rules of thumb" generously sprinkled throughout along with practical examples that you can use to grok as the various concepts are they are introduced. A must have for anyone interested in Graph Thinking and Graph Databases.

The Practitioner's Guide to Graph Data

1. Powerful ‘Machine Scientists’ Distill the Laws of Physics From Raw Data [quantamagazine.org]
2. Gnu Regression, Econometrics and Time-series Library [gretl.sourceforge.net]
3. Beyond Message Passing: a Physics-Inspired Paradigm for Graph Neural Networks [thegradient.pub]
4. We have early warnings for hurricanes. We need one for pandemics. [washingtonpost.com]
5. Climate simulations are mostly accurate, study finds [apnews.com]
6. Web Scraping with Python: Everything you need to know [scrapingbee.com]
7. Introduction to Diffusion Models for Machine Learning [assemblyai.com]
8. Time-series compression algorithms, explained [timescale.com]

• Graph Neural Networks for Natural Language Processing: A Survey (L. Wu, Y. Chen, K. Shen, X. Guo, H. Gao, S. Li, J. Pei, B. Long)
• A crash course in pandemic traffic (M. Buchanan)
• Weak links in finance and supply chains are easily weaponized (H. Farrell, A. L. Newman)
• Ancient Babylonian astronomers calculated Jupiter’s position from the area under a time-velocity graph (M. Ossendrijver)
• On learning agent-based models from data (C. Monti, M. Pangallo, G. De F. Morales, F. Bonchi)
• Using mobile money data and call detail records to explore the risks of urban migration in Tanzania (R. Lavelle-Hill, J. Harvey, G. Smith, A. Mazumder, M. Ellis, K. Mwantimwa, J. Goulding)
• Geographical Theories of Migration (M. Price)
• Ukraine Crisis: Monitoring population displacement through social media activity (D. R. Leasure, R. Kashyap, F. Rampazzo, B. Elbers, C. Dooley, I. Weber, M. Fatehkia, M. Bondarenko, M. D. Verhagen, A. Frey, J. Yan, E. Akimova, A. Sorichetta, A. J. Tatem, M. C. Mills)
• Gromov Centrality: A Multi-Scale Measure of Network Centrality Using Triangle Inequality Excess (S. Babul, K. Devriendt, R. Lambiotte)

The arrow of time in causal networks

May 16, 2022

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