Benchmark dataset for graph classification (doi:10.18710/TIZ9II)

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Document Description

Citation

Title:

Benchmark dataset for graph classification

Identification Number:

doi:10.18710/TIZ9II

Distributor:

DataverseNO

Date of Distribution:

2022-03-30

Version:

1

Bibliographic Citation:

Bianchi, Filippo Maria, 2022, "Benchmark dataset for graph classification", https://doi.org/10.18710/TIZ9II, DataverseNO, V1

Study Description

Citation

Title:

Benchmark dataset for graph classification

Subtitle:

Replication Data for: Pyramidal Reservoir Graph Neural Network

Identification Number:

doi:10.18710/TIZ9II

Authoring Entity:

Bianchi, Filippo Maria (UiT The Arctic University of Norway)

Producer:

UiT The Arctic University of Norway

Software used in Production:

Python (Numpy)

Distributor:

DataverseNO

Distributor:

UiT The Arctic University of Norway

Access Authority:

Bianchi, Filippo Maria

Depositor:

Bianchi, Filippo Maria

Date of Deposit:

2022-03-17

Holdings Information:

https://doi.org/10.18710/TIZ9II

Study Scope

Keywords:

Mathematical Sciences, Graph classification, Machine Learning, Graph Neural Networks

Abstract:

<p> This repository contains datasets to quickly test graph classification algorithms, such as Graph Kernels and Graph Neural Networks. </p> <p> The purpose of this dataset is to make the features on the nodes and the adjacency matrix to be completely uninformative if considered alone. Therefore, an algorithm that relies only on the node features or on the graph structure will fail to achieve good classification results. </p> <p> A more detailed description of the dataset construction can be found on the Github page (https://github.com/FilippoMB/Benchmark_dataset_for_graph_classification), in the original publication and in the original publication: Bianchi, Filippo Maria, Claudio Gallicchio, and Alessio Micheli. "Pyramidal Reservoir Graph Neural Network." Neurocomputing 470 (2022): 389-404, and in the README.txt file. </p>

Kind of Data:

Synthetic data

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

Bianchi, Filippo Maria, Claudio Gallicchio, and Alessio Micheli. "Pyramidal Reservoir Graph Neural Network." Neurocomputing 470 (2022): 389-404.

Identification Number:

10.1016/j.neucom.2021.04.131

Bibliographic Citation:

Bianchi, Filippo Maria, Claudio Gallicchio, and Alessio Micheli. "Pyramidal Reservoir Graph Neural Network." Neurocomputing 470 (2022): 389-404.

Other Study-Related Materials

Label:

00README.txt

Text:

Dataset description

Notes:

text/plain

Other Study-Related Materials

Label:

easy.npz

Notes:

application/octet-stream

Other Study-Related Materials

Label:

easy_small.npz

Notes:

application/octet-stream

Other Study-Related Materials

Label:

hard.npz

Notes:

application/octet-stream

Other Study-Related Materials

Label:

hard_small.npz

Notes:

application/octet-stream