This is a PyTorch implementation of the GraphCTA algorithm, which tries to address the domain adaptation problem without accessing the labelled source graph. It performs model adaptation and graph ...
Abstract: Graph neural networks, with their message-passing mechanism, can model complex structural dependencies in graphs and have demonstrated excellent performance in knowledge graph completion ...
Abstract: Accurately forecasting the power generated by regional distributed photovoltaics (DPV) plays a pivotal role in mitigating the potentially adverse impacts of DPV on the distribution network.
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