graph embedding is super useful for both viz + decision procedures - Viz: Embedding gives x/y coords, and if they rendered the edges, a traditional graph view.

graph embedding is super useful for both viz + decision procedures - Viz: Embedding gives x/y coords, and if they rendered the edges, a traditional graph view. A cool thing about recent shift to embedding approaches to the graph drawing problem is optimizing for objective functions that 1980's style spring layouts don't -- think the same things a neural network would optimize for. The code here appears more useful for small/medium graphs (ex: some ec2 tenant diagram) and I didn't see the neural network stuff, but with work, you can scale up several of the pipeline steps to handle 100X+ bigger ones (ex: we work with a lot of fraud or cyber event logs), and in headless cases, ~billion scale. It's a cool new subfield, google "graph drawing neural network". - Decisions: Node, edge, and subgraph/graph embeddings are all super useful. I'm giving a talk at Friday's Infosec Jupyterthon (https://infosecjupyterthon.com/introduction.html https://infosecjupyterthon.com/introduction.html) on the link prediction case for ~identity protection & resource ~monitoring (account takeover, insider threat, rogue devices, data leakage, ...) by mining log data, and as another example, link prediction is basically recsys, which is how any site with a shopping cart makes more money. Node classification, graph motif mining, etc are different but the same. Search for one of the many introductions to graph neural networks for a technical perspective, and I co-authored this survey at the beginning of the year to give a market perspective: https://gradientflow.com/what-is-graph-intelligence/ https://gradientflow.com/what-is-graph-intelligence/ All this comes up a bunch in cyber/fraud/retail/supplychain -- we're certainly busy there. For anyone into that, we're hiring someone to own a bunch of backend/infra (k8s/gpu cloud/enterprise), 1-2 cleared folks in DC, and in Q1, (graph) data scientists. Simple question but one we're really into :)