Unified platforms simplify outcome monitoring and strengthen governance —both critical as systems become increasingly autonomous.

Abstract: This paper presents a complex relational modeling method based on graph neural networks (GNNs). A heterogeneous graph is constructed by encoding different types of nodes and their ...

Fully reproducible code and data for paper 'Neural Graph Simulator for Complex Systems'. In order to fully reproduce the contents of the paper, the following scripts must be executed in order.

This study proposes KGI, a novel graph isomorphism network that integrates Kolmogorov-Arnold Networks (KAN) into graph representation learning. Unlike traditional Graph Isomorphism Networks (GIN) that ...

Predicting the long-term response of complex structural systems, such as train-bridge coupled systems (TBC), under seismic conditions presents significant challenges due to high computational ...