This repository provides the data set, named IPC, for the evaluation of machine learning methods on graphs. It contains 2439 labeled graphs, presplit for training/validation/testing. The node counts ...

Select SASGRAPH using the Import Type pull-down control. The title of the filename field in the Input area changes to SAS/GRAPH data set. Specify the library and data set name of the desired SAS/GRAPH ...

With JavaDataFlow you can create data flow graphs. This is a directed graph where a node represents data (e.g. fields, inputParameters, etc.) and the edges represent a node influencing the state of ...

And mathematicians are using them to crack open new classes of problems ... asked Michael Schaub of RWTH Aachen University. It depends on the data set, he said. “A graph is a good abstraction for a ...

The MAPS.COUNTY map data set that is supplied with SAS/GRAPH software has coordinates for U.S. state and county boundaries and also uses FIPS codes to identify states and counties, so it is a ...

Abstract: Graph Neural Networks (GNNs) have achieved great success in semi-supervised node classification. These methods usually assume the closed-set setting and classify unlabeled nodes to known ...

Abstract: The graph convolutional network (GCN), as a powerful tool in graph data processing ... which is usually contrary to the real-world class number being unknown and incremental, leading to an ...