Results
2
issues of
Yunzhe Li
**Why is this needed**: Lifelong Learning is an important feature for Sedna, which aims to make the inference robust across various scenarios, e.g., the thermal comfort prediction in different cities...
kind/feature
**What would you like to be added/modified**: Based on the current multiedge inference benchmark on ianvs, we would like to extend the multiedge inference on multiple heterogeneous edges (e.g., mobile...
kind/feature