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Guangquan Xu

2 accepted papers

2025

Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience

AAAI 2025technical

End-to-end training with global optimization have popularized graph neural networks (GNNs) for node classification, yet inadvertently introduced vulnerabilities to adversarial edge-perturbing attacks. Adversaries can exploit the inherent opened interfaces of GNNs' input and output, perturbing critic…

Cited by 0SourcePDFScholar
2024

Improving Distinguishability of Class for Graph Neural Networks

AAAI 2024technical

Graph Neural Networks (GNNs) have received widespread attention and applications due to their excellent performance in graph representation learning. Most existing GNNs can only aggregate 1-hop neighbors in a GNN layer, so they usually stack multiple GNN layers to obtain more information from larger…

Cited by 3SourcePDFScholar