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 ...
Decrease the displayed range on the temperature graph, to only focus on the operating area. Being able to see from 0 degrees and up isn't super useful, in my opinion, and I would personally rather ...
Abstract: Dynamic graphs arise in various real-world applications, and it is often welcomed to model the dynamics in continuous time domain for its flexibility. This paper aims to design an ...
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