TUDataset: A collection of benchmark datasets for learning with graphs

07/16/2020
by   Christopher Morris, et al.
25

Recently, there has been an increasing interest in (supervised) learning with graph data, especially using graph neural networks. However, the development of meaningful benchmark datasets and standardized evaluation procedures is lagging, consequently hindering advancements in this area. To address this, we introduce the TUDataset for graph classification and regression. The collection consists of over 120 datasets of varying sizes from a wide range of applications. We provide Python-based data loaders, kernel and graph neural network baseline implementations, and evaluation tools. Here, we give an overview of the datasets, standardized evaluation procedures, and provide baseline experiments. All datasets are available at www.graphlearning.io. The experiments are fully reproducible from the code available at www.github.com/chrsmrrs/tudataset.

READ FULL TEXT

page 1

page 2

page 3

page 4

11/08/2018

A simple yet effective baseline for non-attribute graph classification

Graphs are complex objects that do not lend themselves easily to typical...
03/15/2022

PDNS-Net: A Large Heterogeneous Graph Benchmark Dataset of Network Resolutions for Graph Learning

In order to advance the state of the art in graph learning algorithms, i...
07/01/2021

Shared Data and Algorithms for Deep Learning in Fundamental Physics

We introduce a collection of datasets from fundamental physics research ...
06/22/2020

Graph Neural Networks in TensorFlow and Keras with Spektral

In this paper we present Spektral, an open-source Python library for bui...
05/15/2019

IPC: A Benchmark Data Set for Learning with Graph-Structured Data

Benchmark data sets are an indispensable ingredient of the evaluation of...
12/20/2019

A Fair Comparison of Graph Neural Networks for Graph Classification

Experimental reproducibility and replicability is a critical topic in ma...
07/06/2020

Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

We present Wiki-CS, a novel dataset derived from Wikipedia for benchmark...

Code Repositories

GraphDatasets.jl

A package for downloading and working with graph datasets


view repo