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本研究介绍了瓦瑟斯坦图形神经网络 (Wasserstein Graph Neural Network,简称WGNN),这是一个新的框架,用于提高图形神经网络在缺失节点属性的图形上的性能. WGNN有效地利用不完整的数据进行更好的表示学习和节点分类.
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结论: