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benedekrozemberczki / pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
MIT License
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Still about the dataset "Twitter Tennis RG" #203

Closed Sebastianyang666 closed 1 year ago

Sebastianyang666 commented 1 year ago

Thanks @ferencberes . I see. However, if I keep using the current source code “classTwitterTennisDatasetLoader(event_id='rg17', N=None, feature_mode='encoded', target_offset=1)”, it cannot reproduce the results of “Twitter Tennis RG” presented in Table 5 (https://arxiv.org/abs/2104.07788) (because the results were obtained based on the setting that Twitter Tennis RG is Static signal and dynamic Graph, rather than a temporal signal, dynamic graph). Therefore,could you please fix this issue or provide me with any guidance how to reproduce the records for “Twitter Tennis RG” in Table 5? In other words, if we would like to consider the Static signal and dynamic Graph setting, how could I refine/modify the current source code “classTwitterTennisDatasetLoader(event_id='rg17', N=None, feature_mode = 'encoded', target_offset=1)”?

Thanks,