Abstract: Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph ...
Abstract: Continual learning (CL) is attracting attention to learn in dynamic and non-stationary environments, typical of many real applications, such as those related to Internet of things (IoT). So ...
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