WSNE

This repository implements the Service-GCN for Web service network embedding.

Data

two datasets were used:

• Webservice: The Mashup and API services together with their composition links, crawled from ProgrammableWeb
• Wiki: The Web page networks between Web pages and their hyperlinks.

Requirement

• Python 3.6
• Tensorflow 1.14.0

Usage

The wsne_1layer.py implements a 1-layer Service-GCN, and wsne_2layer.py implements a 2-layer Service-GCN.

To run the classification task:

python wsne/wsne_1layer.py 

To run the clustering task:

python wsne/service_clustering.py

Baseline methods

DeepWalk; Node2vec; LINE; RTM; PLANE; TriDNR; TWSRL; ARGA

Reference

[1] Kipf TN, Welling M. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907. 2016 Sep 9.