Super dumb question, when we talk about graph deep learning are we talking about deep learning with graphs is input? Or is it the use of graphs as the underlying architecture for a deep learning system. I work in the field of information security and in my head I can see a scenario of using what I would call time series graphs, in which something like an attack or basic system behavior could be modeled as an evolutio…
yes, this is a good example! We model events this way: endpoint, network, web logs, click streams, anything with entities like pids/IPs/users/files/urls and supporting metadata like hashes and timestamps. Connections can be discrete like "same hash" and trickier, fuzzy like "similar shape" or "time-correlated". Microsoft's Matt Swann has a great talk on how they do that at BlueHat, and Graphistry's talk there gives a…
Re: An attempt at demystifying graph deep learning
#21I checked internally, looks like we already have a demo coming up. Looking at your site it seems like you've taken a bit of a pivot towards infosec since the last time I poked about. Nice.