Abstract: Graph-based multi-view clustering has attracted remarkable attention due to its impressive performance. However, the typical framework consisting of graph learning and indicator generation ...
In this repository, we present the design, training, and analysis of a Multi-Task Graph Neural Network (Multi-Task GNN) applied to the ogbn-arxiv dataset. Our goal is to evaluate the performance of ...
Abstract: Graph anomaly detection has gained significant research interest across various domains. Due to the lack of labeled data, contrastive learning has been applied in detecting anomalies and ...
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