Dataset for the UNB-GCN model

 Detailed instructions on how to utilize the dataset 

(replace DS by the name of the dataset):

 n = total number of nodes

m = total number of edges

N = number of graphs

(1) DS_A.txt (m lines) 

sparse (block diagonal) adjacency matrix for all graphs,

each line corresponds to (row, col) resp. (node_id, node_id)

(2) DS_graph_indicator.txt (n lines)

column vector of graph identifiers for all nodes of all graphs,

the value in the i-th line is the graph_id of the node with node_id i

(3) DS_graph_labels.txt (N lines) 

class labels for all graphs in the dataset,

the value in the i-th line is the class label of the graph with graph_id i

(4) DS_node_labels.txt (n lines)

column vector of node labels,

the value in the i-th line corresponds to the node with node_id i

There are OPTIONAL files if the respective information is available:

(5) DS_edge_labels.txt (m lines; same size as DS_A_sparse.txt)

labels for the edges in DS_A_sparse.txt 

(6) DS_edge_attributes.txt (m lines; same size as DS_A.txt)

attributes for the edges in DS_A.txt 

(7) DS_node_attributes.txt (n lines) 

matrix of node attributes,

the comma seperated values in the i-th line is the attribute vector of the node with node_id i

(8) DS_graph_attributes.txt (N lines) 

regression values for all graphs in the dataset,

the value in the i-th line is the attribute of the graph with graph_id i