Abstract: Graph contrastive learning (GCL) is emerging as a pivotal technique in graph representation learning. However, recent research indicates that GCL is vulnerable to adversarial attacks, while ...
The Australian Energy Market Operator has released the long-awaited draft of its 2026 Integrated System Plan, its multi-decade blueprint for the transition of Australia’s main grid from fossil fuels ...
Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...
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