Skip to main content
Advertisement

< Back to Article

Dual-channel graph learning reveals similarity and complementarity in protein-protein interaction networks

Fig 7

Directional influence among PPI types.

Each row corresponds to a specific PPI type, while each column represents the type influencing it. The value at row i and column j indicates how strongly type j contributes to type i, as learned by DMG‑PPI. Arrows mark influences stronger than 0.2. Overall, the map highlights directional relationships among interaction types and reflects known biological mechanisms.

Fig 7

doi: https://doi.org/10.1371/journal.pcbi.1013941.g007