GuoguoAi

2 accepted papers

2025

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers

GuoguoAi, Guansong Pang, Hezhe Qiao, YuanGao, Hui Yan

ICML 2025poster

Graph Transformers (GTs) have demonstrated remarkable performance in graph representation learning over popular graph neural networks (GNNs). However, self-attention, the core module of GTs, preserves only low-frequency signals in graph features, leading to ineffectiveness in capturing other importa…

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2025

Semi-supervised Graph Anomaly Detection via Robust Homophily Learning

GuoguoAi, Hezhe Qiao, Hui Yan, Guansong Pang

NeurIPS 2025poster

Current semi-supervised graph anomaly detection (GAD) methods utilizes a small set of labeled normal nodes to identify abnormal nodes from a large set of unlabeled nodes in a graph. These methods posit that 1) normal nodes share a similar level of homophily and 2) the labeled normal nodes can well r…

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