Graph Neural Networks Including Sparse Interpretability

no code implementations • 30 Jun 2020 • Chris Lin, Gerald J. Sun, Krishna C. Bulusu, Jonathan R. Dry, Marylens Hernandez

Through a single self-attention layer, a GISST model learns an importance probability for each node feature and edge in the input graph.

Feature Importance Representation Learning