Abstract: Graph embeddings are essential for analyzing complex networks across domains like social networks, biology, and ecology. However, existing methods often fail to integrate structural roles ...

1 Business College, California State University, Long Beach, CA, United States 2 School of Business and Management, Shanghai International Studies University, Shanghai, China In common graph neural ...

This repository provides the reference implementation of SIGEM and LINOW (linear matrix form, LINOW-sn, LINOW-bn/MP, and LINOW-bn/TF). SIGEM is a self-supervised and contrastive-free embedding method ...

Abstract: Despite the popularity of graph neural networks, perturbed graph data is still a serious threat towards its inherent vulnerabilities. Adversarial examples can still easily manipulate the ...