dataset_tud: TU Dortmund Benchmark Dataset

In rdinnager/rspektral: What the Package Does (One Line, Title Case)

Description

Loads one of the Benchmark Data Sets for Graph Kernels from TU Dortmund (link). The node features are computed by concatenating the following features for each node: - node attributes, if available, normalized as specified in normalize_features;

• clustering coefficient, normalized with z-score;

• node degrees, normalized as specified in normalize_features;

• node labels, if available, one-hot encoded.

Usage

dataset_tud(dataset_name, clean = FALSE)

Arguments

dataset_name	name of the dataset to load (see spektral_datasets$tud$AVAILABLE_DATASETS).
clean	if TRUE, return a version of the dataset with no isomorphic graphs.

Value

A list of:

• a list of adjacency matrices;

• a list of node feature matrices;

• an array containing the one-hot encoded targets.

rdinnager/rspektral documentation built on June 12, 2021, 1:26 a.m.