Xiaofei Han Publishes Groundbreaking Research on Multimodal Graph Neural Networks in ...

Frontiers in Neurorobotics has published a new paper by Xiaofei Han and Xin Dou introducing a next-generation artificial intelligence framework that combines graph neural networks and multimodal ...
techUK

Simulation and photonics: How Dewret supports the next generation of engineering

Dewret was originally developed to support a real client open source need in photonics, and is spreading across our work in ...
IEEE

Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based ...

Abstract: Graph Neural Networks (GNNs) have gained popularity in numerous domains, yet they are vulnerable to backdoor attacks that can compromise their performance and ethical application. The ...
IEEE

Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection

Abstract: Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, ...