Graph Neural Network

A developer built a prototype probabilistic graph neural inference system to support rapid decision-making during mission-critical recovery windows in deep-sea exploration habitats. The system models …

A new arXiv paper (2608.28627v1) proposes a data-driven framework that uses a Graph Neural Network to guide Tabu Search for tactical wireless network design, reducing computation time while producing …

Researchers introduced DeepSeq3, a hierarchical framework that abstracts sequential circuits into fine-grained combinational subgraphs and a high-level Super-Node Graph, using a dual Graph Neural Netw…

Researchers from the GRAPES-3 collaboration at the Tata Institute of Fundamental Research have developed a machine learning pipeline to distinguish secondary muon and punch-through hadron tracks in th…