Datasets and Code

Datasets

We compare our methods with other approaches on five public datasets including Cora, CiteSeer , Reddit , Amazon, and Pubmed. Detailed statistics are presented in Table 1 where the last column refers to the number of node classes. To conduct edge-level and graph-level tasks, we sample edges and subgraphs from the original data where the label of an edge is decided by its two endpoints and the subgraph label follows the majority of the subgraph nodes. For example, if nodes have 3 different classes, say 𝑐1, 𝑐2, 𝑐3, then edge-level tasks contain at least 6 categories (𝑐1, 𝑐2, 𝑐3, 𝑐1𝑐2, 𝑐1𝑐3, 𝑐2𝑐3). We also evaluate additional graph classification and link prediction on more specialized datasets where the graph label and the link label are inborn and not related to any node

Code

We have sent our codes to github ,click here to check.