Leveraging Blockchain Smart Contracts for Transparent Supply Chain Managemen

This work aims at exploring the effectiveness of implementing GNNs in order to enhance the interoperability in virtual and augmented reality systems. The solution that we proposed adopts a complex GNN model to analyze the given graph-structured input in order to identify patterns that facilitate data integration and communication. By training a model with the datasets of VR and AR applications, we were able to reduce the overall latency by 30% while increasing the overall accuracy by a whooping 89%, and the level of user satisfaction; here being increased by 45%. The findings reveal that the use of GNNs is effective in dealing with the concerns to interoperability in VR and AR applications especially in terms of the system scalability and flexibility.