eLife

Asymmetric neural entrainment at resonance frequencies underlies unilateral spatial neglect

This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...
IEEE

Out-of-Distribution Generalization on Graphs: A Survey

Abstract: Graph machine learning has been extensively studied in both academia and industry. Although booming with a vast number of emerging methods and techniques, most of the literature is built on ...
IEEE

Fault Classification in Distribution Networks Using Graph Neural Networks and Discrete Stockwell Transform

Abstract: Deep learning models have shown great potential for fault location and classification tasks in distribution systems. Emerging multi-scale data sources such as waveform measurement units, ...
GitHub

Graph Frequency Filtering Learning (GF2L)

This repository contains the implementation of GF2L (Graph Frequency Filtering Learning), as proposed in our paper: Beyond Contrast and Generation: Graph Frequency Filtering Learning for ...