arxiv
PublishedJune 1, 2026 at 4:00 AM
DG-CoLearn: An Efficient Collaborative Learning Framework for Dynamic Graphs
Publisher summary· verbatim
arXiv:2605.31427v1 Announce Type: new Abstract: Dynamic graph learning (DGL) is essential for modelling evolving graph data, but existing methods suffer from significant computational overhead due to repeated full-snapshot retraining and are not well-suited for collaborative settings with partitione
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Originally published on arxiv ↗