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Keao Xi

2 accepted papers

2025

Combining Loss-aware Curriculum Learning with Incomplete Graph Neural Networks

ICASSP 2025accepted

Graph neural networks (GNNs) have achieved great success in node classification tasks. However, most graph neural networks are incomplete. For example, the reference of each article is subjectively introduced by the author in the citation network, which leads to an incomplete citation network, espec…

Cited by 0SourceScholar
2025

Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs

AAAI 2025technical

Anomaly detection on attributed graphs has applications in various domains such as finance and email spam detection, thus gaining substantial attention. Distributed scenarios can also involve issues related to anomaly detection in attribute graphs, such as in medical scenarios. However, most of the…

Cited by 0SourcePDFScholar