  We present a multi-relational temporal Knowledge Graph based on the daily
interactions between artifacts in GitHub, one of the largest social coding
platforms. Such representation enables posing many user-activity and project
management questions as link prediction and time queries over the knowledge
graph. In particular, we introduce two new datasets for i) interpolated
time-conditioned link prediction and ii) extrapolated time-conditioned
link/time prediction queries, each with distinguished properties. Our
experiments on these datasets highlight the potential of adapting knowledge
graphs to answer broad software engineering questions. Meanwhile, it also
reveals the unsatisfactory performance of existing temporal models on
extrapolated queries and time prediction queries in general. To overcome these
shortcomings, we introduce an extension to current temporal models using
relative temporal information with regards to past events.
