SpLPG reduces the communication cost of distributed GNN link prediction training by up to 80% by using sparsified remote subgraphs for negative sampling while keeping full neighbor information locally.
Link prediction tech- niques, applications, and performance: A survey,
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Demystifying Distributed Training of Graph Neural Networks for Link Prediction
SpLPG reduces the communication cost of distributed GNN link prediction training by up to 80% by using sparsified remote subgraphs for negative sampling while keeping full neighbor information locally.