reading/stemgnn/

[giscus[bot]]

reading/stemgnn/

What problem is StemGNN solving: intra-series temporal pattern: DFT Each series inter-series correlations At each step, the interactions between nodes reversible operator Example problem Covid cases: DE, AT, NL, … Predicting each country without considering the interactions between them Or introduce the people flow between them GFT: Completes DFT as it takes care of the inter-series correlations one extra slide for this topic Convolutions on Graphs one extra slide for this topic Graph Basics How to build the graph “self-attention”: outer product of key, query, as the adjacency matrix key, query are of length # of ndoes Weights and Biases LC 1DConv GLU FC Experiments Traffic adjacency matrix neighbouring sensors have higher correlations Covid Neighbouring countries have higher correlation Spetral analysis: Some eigenvectors have clear meanings Week spots Paper and code are not consistent https://github.

https://datumorphism.leima.is/reading/stemgnn/