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Shan Xue

5 accepted papers

2024

Graph Neural Networks for Brain Graph Learning: A Survey

IJCAI 2024poster

Exploring the complex structure of the human brain is crucial for understanding its functionality and diagnosing brain disorders. Thanks to advancements in neuroimaging technology, a novel approach has emerged that involves modeling the human brain as a graph-structured pattern, with different brain…

2022

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection

NeurIPS 2022accept

Graph-level anomaly detection aims to distinguish anomalous graphs in a graph dataset from normal graphs. Anomalous graphs represent a very few but essential patterns in the real world. The anomalous property of a graph may be referable to its anomalous attributes of particular nodes and anomalous s…

Cited by 44SourcePDFScholar
2020

Deep Learning for Community Detection: Progress, Challenges and Opportunities

IJCAI 2020poster

As communities represent similar opinions, similar functions, similar purposes, etc., community detection is an important and extremely useful tool in both scientific inquiry and data analytics. However, the classic methods of community detection, such as spectral clustering and statistical inferenc…