https://github.com/ferencberes/online-node2vec
Node Embeddings in Dynamic Graphs
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: springer.com -
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (15.9%) to scientific vocabulary
Keywords
Repository
Node Embeddings in Dynamic Graphs
Basic Info
- Host: GitHub
- Owner: ferencberes
- License: cc0-1.0
- Language: Jupyter Notebook
- Default Branch: master
- Homepage: https://appliednetsci.springeropen.com/articles/10.1007/s41109-019-0169-5
- Size: 2.84 MB
Statistics
- Stars: 56
- Watchers: 4
- Forks: 11
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Online Node2Vec
This repository contains the code related to the research of Ferenc Béres, Róbert Pálovics, Domokos Miklós Kelen and András A. Benczúr.
Introduction
We propose two online node embedding models (StreamWalk and online second order similarity) for temporally evolving networks. Two nodes are required to be mapped close in the vector space whenever they lie on short paths formed by recent edges in the first model, and whenever the set of their recent neighbors is similar in the second model.
Please cite our paper if you use our work:
@Article{Béres2019,
author="B{\'e}res, Ferenc
and Kelen, Domokos M.
and P{\'a}lovics, R{\'o}bert
and Bencz{\'u}r, Andr{\'a}s A.",
title="Node embeddings in dynamic graphs",
journal="Applied Network Science",
year="2019",
volume="4",
number="64",
pages="25",
}
I presented a former version of our work at the 7th International Conference on Complex Networks and Their Applications that is availabe on this branch.
Data
US Open 2017 (UO17) and Roland-Garros 2017 (RG17) Twitter datasets were published in our previous work for the first time. Please cite this article if you use our data sets in your research:
@Article{Béres2018,
author="B{\'e}res, Ferenc
and P{\'a}lovics, R{\'o}bert
and Ol{\'a}h, Anna
and Bencz{\'u}r, Andr{\'a}s A.",
title="Temporal walk based centrality metric for graph streams",
journal="Applied Network Science",
year="2018",
volume="3",
number="32",
pages="26",
}
These Twitter datasets are available on the website of our research group. In order to process the data you need to install the twittertennis Python package. It will automatically download and prepare the datasets for you.
Install
bash
pip install online-node2vec
Usage
After installing every requirement execute the following script to run both node representation learning and evaluation for the similarity search task.
bash
cd scripts
bash run.sh
The major steps in our pipeline are: * Download and preprocess data * Learning StreamWalk representations * Learning Second order similarity representations * Evaluate node embeddings for the similarity search supervised experiment
Owner
- Name: Ferenc Béres
- Login: ferencberes
- Kind: user
- Location: Hungary, Budapest
- Company: SZTAKI (Institute for Computer Science and Control)
- Website: https://ferencberes.github.io/
- Repositories: 12
- Profile: https://github.com/ferencberes
PhD student in Network Science
GitHub Events
Total
- Watch event: 4
Last Year
- Watch event: 4
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 51
- Total Committers: 2
- Avg Commits per committer: 25.5
- Development Distribution Score (DDS): 0.02
Top Committers
| Name | Commits | |
|---|---|---|
| Ferenc Beres | f****5@g****m | 50 |
| Beres Ferenc | f****s@h****b | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 2
- Total pull requests: 0
- Average time to close issues: about 2 months
- Average time to close pull requests: N/A
- Total issue authors: 2
- Total pull request authors: 0
- Average comments per issue: 0.5
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- erenarkangil (1)
- ferencberes (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 14 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 2
- Total maintainers: 1
pypi.org: online-node2vec
Node Embeddings in Dynamic Graphs
- Homepage: https://github.com/ferencberes/online-node2vec
- Documentation: https://online-node2vec.readthedocs.io/
- License: cc0-1.0
-
Latest release: 0.1.1
published over 4 years ago
Rankings
Maintainers (1)
Dependencies
- gensim *
- networkx *
- numpy *
- pandas *
- plotly *
- python-Levenshtein *
- scipy *
- sympy *
- tqdm *
- twittertennis *