FLEX is a generative framework that synthesizes counterfactual subgraphs with a semi-implicit graph VAE and adversarially co-trains a GNN to improve out-of-distribution link prediction.
Neo-gnns: Neighborhood overlap-aware graph neural networks for link prediction
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Subgraph Generation for Generalizing on Out-of-Distribution Links
FLEX is a generative framework that synthesizes counterfactual subgraphs with a semi-implicit graph VAE and adversarially co-trains a GNN to improve out-of-distribution link prediction.