NECL
1.0.0
Network Embedding: ON compression and Learning
Code for paper "Network Embedding: ON compression and Learning", Esra Akbas, Mehmet Aktas, IEEE BIg Data 2019.
You can read the paper on from this link https://ieeexplore.ieee.org/document/9006142
NECL is a meta-strategy to improve several state-of-the-art network embedding algorithms, such as DeepWalk, and Node2vec.
This code run with Python 3.
Graph, Classify and Node2vec code are improted from Openne project (https://github.com/thunlp/OpenNE) and we did some changings on them as needed