Drug Synergy Prediction via Residual Graph Isomorphism Networks and Attention Mechanisms

ArXi:2604.21473v1 Announce Type: new In the treatment of complex diseases, treatment regimens using a single drug often yield limited efficacy and can lead to drug resistance. In contrast, combination drug therapies can significantly improve therapeutic outcomes through synergistic effects. However, experimentally validating all possible drug combinations is prohibitively expensive, underscoring the critical need for efficient computational prediction methods.