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Found 2 papers, 2 papers with code
MSPipe: Efficient Temporal GNN Training via Staleness-aware Pipeline
However, the iterative reading and updating process of the memory module in MTGNNs to obtain up-to-date information needs to follow the temporal dependencies.
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs
We introduce GNNFlow, a distributed framework that enables efficient continuous temporal graph representation learning on dynamic graphs on multi-GPU machines.
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