Hello, I'm looking for the model adaption mechanism mentioned in the Sections 4.4 and 6.3 of the paper, which has been used to produce the results in Table 5.
I tried to locate the logic in the codebase, but I cannot find any feedback loop to receive analyst corrections or a mechanism to update the graph autoencoder or KNN model.
Is that logic included in this repo, or was it maybe run in a separate script? I'm really interested in seeing how you handled the concept drift practically.
Thanks in advance
Hello, I'm looking for the model adaption mechanism mentioned in the Sections 4.4 and 6.3 of the paper, which has been used to produce the results in Table 5.
I tried to locate the logic in the codebase, but I cannot find any feedback loop to receive analyst corrections or a mechanism to update the graph autoencoder or KNN model.
Is that logic included in this repo, or was it maybe run in a separate script? I'm really interested in seeing how you handled the concept drift practically.
Thanks in advance