Abstract: Graph Neural Networks (GNNs) have achieved strong performance on various graph learning tasks under the assumption of independently and identically distributed (IID) data. However, recent ...
Abstract: Enhancing the efficiency of iterative computation on graphs has garnered considerable attention in both industry and academia. Nonetheless, the majority of efforts focus on expediting ...
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