GEGCN improves graph classification by using LSTM to capture dynamic sequences from discrete Ricci flow and infusing those representations into a graph convolutional network.
Bochner’s method for cell complexes and combinatorial Ricci curva- ture
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Geometric Evolution Graph Convolutional Networks: Enhancing Graph Representation Learning via Ricci Flow
GEGCN improves graph classification by using LSTM to capture dynamic sequences from discrete Ricci flow and infusing those representations into a graph convolutional network.