Issue #130
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. Transformers from scratch [peterbloem.nl]
- 2. Why NFTs are bad: the long version [antsstyle.medium.com]
- 3. Someone Made a Pirate Bay for NFTs [vice.com]
- 4. Facebook AI Similarity Search (Faiss): The Missing Manual [pinecone.io]
- 5. From Zero to Hero: Contributing to Open Source [miparnisariblog.wordpress.com]
- 6. OpenAI’s API Now Available with No Waitlist [openai.com]
- 7. The industrial data revolution: What founders got wrong [techcrunch.com]
- • Dynamics of online hate and misinformation (M. Cinelli, A. Pelicon, I. Mozetič, W. Quattrociocchi, P. K. Novak, F. Zollo)
- • The social influence of bots and trolls in social media (Y. Chen)
- • Topological-temporal properties of evolving networks (A. Ceria, S. Havlin, A. Hanjalic, H. Wang)
- • Attention Based Subgraph Classification for Link Prediction by Network Re-weighting (D. Lai, Z. Liu, J. Huang, Z. Chong, W. Wu, C. Nardini)
- • Bioinformatics and Network Analysis of Biological Data (E. Hernández-Lemus, H. Tovar, L. Gómez-Romero, M. Martínez-García)
- • An argument for the impossibility of machine intelligence (J. Landgrebe, B. Smith)
- • Quantitative Evaluation of Snapshot Graphs for the Analysis of Temporal Networks (A. Chiappori, R. Cazabet)
Working with Dates and Time Series Data
All our videos are also available in our YouTube playlist.
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