Currently, I am unable to find anything about temporal graphs in DGL, and especially heterogeneous temporal graphs (in the sense of having varying nodes and edges). The most recent questions on this are from 2020 (Temporal Graph Neural Networks).
I am very interested in this use-case for my personal work, and was wondering if anyone knew any works that used DGL (or graphs) in general that work on node regression in a heterogeneous, temporal graph setting.