Fig. 8: Graphormer mixture-of-experts architecture for crystal system classification. | npj Computational Materials

Fig. 8: Graphormer mixture-of-experts architecture for crystal system classification.

From: Accelerating electron diffraction analysis using graph neural networks and attention mechanisms

Fig. 8

The Graphormer mixture-of-experts model operates on the attention graph using biased self-attention informed by structural descriptors. Node and graph-level representations are refined through expert routing and residual connections, yielding a final representation used for crystal system classification.

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