Issue #162
July 4, 2022
- 1. Just say no (to content): Nietzsche’s surprising “information diet” [arstechnica.com]
- 2. Graph Machine Learning at Airbnb [medium.com/airbnb-engineering]
- 3. Can Computers Be Mathematicians? [quantamagazine.org]
- 4. An Engineer’s Best Tips for Writing Documentation Devs Love [thenewstack.io]
- 5. Visualizing Algorithms [bost.ocks.org]
- 6. The Feynman Technique 2.0: How to Take Your Learning to the Next Level [themindcollection.com]
- 7. The dark side of Graph Neural Networks [appliedexploration.com]
- • Network resilience (X. Liu, D. Li M. Ma, B. K. Szymanski, H. E. Stanley, J. Gao)
- • Event-level prediction of urban crime reveals a signature of enforcement bias in US cities (V. Rotaru, Y. Huang, T. Li, J. Evans, I. Chattopadhyay)
- • A Weighted Symmetric Graph Embedding Approach for Link Prediction in Undirected Graphs (Z. Wang, Y. Chai, C. Sun, X. Rui, H. Mi, X. Zhang, P. S. Yu)
- • Eigenvalue ratio statistics of complex networks: Disorder versus randomness (A. Mishra, T. Raghav, S. Jalan)
- • Community Detection in the Heterogeneous Stochastic Block Model (D. Saulpic, F. Mallmann-Trenn, V. P. Cohen-addad)
- • Pen and Paper Exercises in Machine Learning (M. U. Gutmann)
- • Modeling Teams Performance Using Deep Representational Learning on Graphs (F. Carli, P. Foini, N. Gozzi, N. Perra, R. Schifanella)
- • Inferring Tie Strength in Temporal Networks (L. Oettershagen, A. L. Konstantinidis, G. F. Italiano)
Introduction to GIS Analysis with GeoPandas using Python
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