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This is a dataset that was gotten by integrating the breast cancer(tcga) dataset from the cBioportal and data that shows node connections from Pathway Commons. They were preprocessed together to form one huge dataset that could be converted to Pytorch geometric data objects. This data is in the CSV format and can be downloaded, and then processed to form a graph dataset comprising different graphs for training Graph Neural Networks(GNN) for Graph regression. It could also be used as is for training Deep Neural Networks(DNN). The dataset contains the gene features of each patient in graph_idx and the overall survival time(in months) of each patient, which are the labels.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 179 |

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