MABLE learns stable node and graph embeddings on heterogeneous geospatial graphs via masked autoencoding, bi-Lipschitz decoding, and fixed cosine alignment/uniformity losses without discriminators or hard negatives.
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MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning
MABLE learns stable node and graph embeddings on heterogeneous geospatial graphs via masked autoencoding, bi-Lipschitz decoding, and fixed cosine alignment/uniformity losses without discriminators or hard negatives.