AMLP is a simple unsupervised framework that makes a single MLP adaptive to graph aggregation through a neighbor-consistency loss and a reconstructed graph, and it reports strong clustering and classification performance.
Raw-gnn: Random walk aggregation based graph neural network,
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Aggregation-aware MLP: An Unsupervised Approach for Graph Message-passing
AMLP is a simple unsupervised framework that makes a single MLP adaptive to graph aggregation through a neighbor-consistency loss and a reconstructed graph, and it reports strong clustering and classification performance.