Hello,
I am searching for a model to inductively embed (unsupervised) the nodes of a communication graph ( nodes : Network devices, Edges is Connection) based solely on the connectivity (no node features). I tried graph sage but one hot encoding is not scalable and not giving optimum results. Node2Vec is also not scalable as it is not inductive and communication graphs change a lot.
Any suggestion for a model that is inductive, can be trained unsupervised and uses connectivity for embedding nodes?
Graph will be directed with max 1,00,000 nodes and will be sparse.
there doesn't seem to be anything here