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Graphs are ubiquitous in modeling relational data, but static graphs fail to capture the evolving nature of real-world systems. While models like TGN, JODIE, and TGAT have advanced the field, the tooling supporting them remains archaic. Current workflows rely on disjointed scripts for downloading datasets (e.g., Reddit, Wikipedia, MOOC), splitting temporal edges, and constructing negative samples.