The individual folders contain all notebooks, files and datasets belonging to the GNN research project.
Install the dependency using the following command.
pip install -r requirements.txt
This project folder is structured the same way as section 4 Research project: Graph Neural Networks with Economic Applications of the master's thesis. Specifically, the 7 folders contain the following:
0_raw_data: the raw data and web scraping notebooks described in section 4.1 of the master's thesis.1_data_processing: the notebooks containing the data preparation and creation of new datasets both explained in section 4.2 of the master's thesis.2_graph_generation: the notebook containing the graph generation presented in section 4.3 of the master's thesis.3_influencer_determination: the notebook in which the influencer determination from section 4.4 of the master's thesis is carried out.4_node_classification: the notebooks implementing the node classification baselines and GNNs from section 4.5 of the master's thesis.5_link_prediction: the notebooks implementing the link prediction baselines and GNNs from section 4.6 of the master's thesis.6_time_series_forecasting: the notebooks implementing the time series forecasting baselines and GNN from section 4.7 of the master's thesis.