ReasonGNN/test-gcn-embeddings

这是一个包含图结构数据的数据集，其中包括节点的特征值(x)、边的索引(edge_index)、边的属性(edge_attr)、节点的标签(y)等信息。此外，还提供了两种预训练的嵌入表示：neuralwalker_embeddings和pretrained_embeddings。数据集分为训练集、验证集和测试集，可用于图结构相关的机器学习任务。

This is a dataset containing graph-structured data, including node feature values (x), edge indices (edge_index), edge attributes (edge_attr), node labels (y), and two types of pre-trained embedding representations: neuralwalker_embeddings and pretrained_embeddings. The dataset is divided into training, validation, and test sets, which can be used for machine learning tasks related to graph structures.