IEEE

Dueling Network Architecture for GNN in the Deep Reinforcement Learning for the Automated ICT System Design

Abstract: This paper presents an improved deep reinforcement learning-based (DRL) approach for end-to-end models using a Graph Neural Network(GNN). The proposed method aims to improve end-to-end deep ...
ArchDaily

Systems’ Hack and RAMSA’s Palmer Memorial Institute Plan: This Week’s Review

Discover how architecture engages with systemic frameworks in 2026, from infrastructure to cultural events, in this week’s ...
IEEE

HighMPNN: A Graph Neural Network Approach for Structure-Constrained Cyclic Peptide Sequence Design

Abstract: Cyclic peptides become attractive therapeutic candidates due to their diverse biological activities. However, existing deep learning-based sequence design models, such as ProteinMPNN, are ...