This is part four in a series on graph theory and graph convolutional networks.If you’ve been reading this whole series, you’ve been with me on this entire journey — through discussing what graph theory is and why it matters, what a graph convolutional network even is and how they work, and now we’re here, to the fun part — building our own GCN.If … [Read more...] about Graph Convolutional Network Implementation With the PROTEINS Benchmark Dataset
This is the third part of a series on graphs and graph theory in machine learning.By now, if you’ve been following this series, you may have learned a bit about graph theory, why we care about graph structured data in data science, and what the heck a “Graph Convolutional Network” is. Now, I’d like to briefly introduce you to what makes these things work.For my … [Read more...] about What Makes Graph Convolutional Networks Work?
In my last article on graph theory, I briefly introduced my latest topic of interest: Graph Convolutional Networks. If you’re here thinking “what do those words mean?”, you’re in the right place. In this article, we’re going to break this topic down, step by step.Part I: What’s This Graph Thing?If this is the first you’re hearing this ‘graph’ word, I’m sorry, but you … [Read more...] about Graph Convolutional Networks — Explained
What are Graphs?Talk to a scientist in just about any discipline, and ask them the question — based on their discipline — “how does that stuff work?” You’ll likely find that there are systems and networks that you have to consider before you can really understand how any given thing works: whether that’s the human body, a food chain in an ecosystem, a … [Read more...] about Why Graph Theory Is Cooler Than You Thought