#graph
3 articles
01
·Deep Learning Basics·★ MEMBER·PAPER·12 min read
Graph Neural Networks from Scratch — Learning from Connections
Social networks, molecules and road maps are all built from dots and lines. This piece builds message passing up from nothing, explains why stacking layers makes every node look identical (over-smoothing), and follows the idea through to how recommenders and drug discovery actually use it.
02
·Deep Learning Basics·★ MEMBER·PAPER·12 min read
Graph Neural Networks from Scratch — Learning from Connections
Social networks, molecules and road maps are all built from dots and lines. This piece builds message passing up from nothing, explains why stacking layers makes every node look identical (over-smoothing), and follows the idea through to how recommenders and drug discovery actually use it.
03
·Search & Optimization·★ MEMBER·PAPER·8 min read
Graph Algorithms from Scratch — Shortest Paths and Where They Lead
From transit apps to vector search, the world runs on dots and lines. We build up BFS, Dijkstra, and A* assuming zero background, then follow one unbroken thread all the way to HNSW — the graph search powering retrieval in the LLM era.