Join our meetup, learn, connect, share, and get to know your Toronto AI community.
Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.
Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.
My problem consists of classifying nodes of graphs (number of vertices <500) , nodes are attributed with both Continuous (some numerical features) and Categorical (CountVectorizer) features. I’ve looked in to various articles both about node embedding and graph neural networks but I’m still not sure what algorithms will be the best fit for my task.
What is your recommended approach for my problem?
Sorry for my short explanation, please ask me if you need more details.
submitted by /u/suddenintent
[link] [comments]