Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
https://github.com/benedekrozemberczki/awesome-graph-classification
List: awesome-graph-classification
attention-mechanism classification-algorithm deep-graph-kernels deepwalk graph-attention-model graph-attention-networks graph-classification graph-convolutional-networks graph-embedding graph-kernel graph-kernels graph-representation-learning graph2vec kernel-methods netlsd network-embedding node-embedding node2vec structural-attention weisfeiler-lehman
Last synced: about 1 month ago
JSON representation
A collection of important graph embedding, classification and representation learning papers with implementations.
- Host: GitHub
- URL: https://github.com/benedekrozemberczki/awesome-graph-classification
- Owner: benedekrozemberczki
- License: cc0-1.0
- Created: 2018-07-14T12:13:44.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2023-03-18T12:10:08.000Z (over 1 year ago)
- Last Synced: 2024-05-02T00:56:07.067Z (about 2 months ago)
- Topics: attention-mechanism, classification-algorithm, deep-graph-kernels, deepwalk, graph-attention-model, graph-attention-networks, graph-classification, graph-convolutional-networks, graph-embedding, graph-kernel, graph-kernels, graph-representation-learning, graph2vec, kernel-methods, netlsd, network-embedding, node-embedding, node2vec, structural-attention, weisfeiler-lehman
- Language: Python
- Homepage:
- Size: 1.79 MB
- Stars: 4,704
- Watchers: 217
- Forks: 745
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: contributing.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: code-of-conduct.md
Lists
- more-awesome - Graph Embedding - Learn representations of graphs. (Computer Science)
- lists - awesome-graph-classification
- awesome-awesome - awesome-graph-classification - A curated list of important graph embedding, classification and representation learning papers with implementations. (Other)
- awesome-artificial-intelligence - Awesome Graph Classification - Learning from graph structured data (Learning)
- awesome-datascience - Awesome Graph Classification
- awesome-network-analysis - Awesome graph classification - Comprehensive list of graph embedding papers with title, authors, link to the paper and reference implementation. (Varia / Tutorials)
- collection - awesome-graph-classification
- data-engineering-collection - awesome-graph-classification
- awesome-awesomeness - Graph Classification
- awesome-deepnote - awesome-graph-classification
- awesome-ai-awesomeness - Graph Classification
- my-awesome-stars - benedekrozemberczki/awesome-graph-classification - A collection of important graph embedding, classification and representation learning papers with implementations. (Python)
- awesomelist - awesome-graph-classification
- awesome-artificial-intelligence - Awesome Graph Classification - Learning from graph structured data (Learning)
- awesome-ai - awesome-graph-classification
- Awesome-Paper-List - Graph Classification
- awesome-ai-list-guide - awesome-graph-classification
- awesome-machine-learning-resources - **[List - graph-classification?style=social) (Table of Contents)
- awesome-awesome - awesome-graph-classification - A curated list of important graph embedding, classification and representation learning papers with implementations. (Other)
- awesome-ai-awesomeness - Graph Classification
- Machine-Learning -
- awesome-bigdata - awesome-graph-classification
- fucking-lists - awesome-graph-classification
- awesome-network-analysis - Awesome graph classification - Comprehensive list of graph embedding papers with title, authors, link to the paper and reference implementation. (Varia / Tutorials)
- awesome-bigdata - awesome-graph-classification
- Data-Science-academic---awesome-datascience - Awesome Graph Classification
- awesome-stars - benedekrozemberczki/awesome-graph-classification - A collection of important graph embedding, classification and representation learning papers with implementations. (Python)
- awesome-bigdata - awesome-graph-classification
- awesome-awesomeness - Graph Classification
- awesome-stars - awesome-graph-classification
- -awesome-artificial-intelligence - Awesome Graph Classification - Learning from graph stuctured data (Learning)
- A-curated-list-of-awesome-big-data-frameworks-ressources-and-other-awesomeness.- - awesome-graph-classification
- awesome-datascience - Awesome Graph Classification
- awesome-stars - benedekrozemberczki/awesome-graph-classification - A collection of important graph embedding, classification and representation learning papers with implementations. (Python)
- aaa-md-awesomeness-collect - Graph Classification
- awesome-artificial-intelligence - Awesome Graph Classification - Learning from graph stuctured data (Learning)
- awesome-datascience - Awesome Graph Classification
- awesomeai - Graph Classification
- awesome-bigdata - awesome-graph-classification
- awesome-artificial-intelligence-research - Graph Classification
README
# Awesome Graph Classification
[](https://github.com/sindresorhus/awesome)
[](http://makeapullrequest.com)
[](https://github.com/benedekrozemberczki/awesome-graph-classification/archive/master.zip) [](https://twitter.com/intent/follow?screen_name=benrozemberczki)
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations.
Relevant graph classification benchmark datasets are available [[here]](https://github.com/shiruipan/graph_datasets).
Similar collections about [community detection](https://github.com/benedekrozemberczki/awesome-community-detection), [classification/regression tree](https://github.com/benedekrozemberczki/awesome-decision-tree-papers), [fraud detection](https://github.com/benedekrozemberczki/awesome-fraud-detection-papers), [Monte Carlo tree search](https://github.com/benedekrozemberczki/awesome-monte-carlo-tree-search-papers), and [gradient boosting](https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers) papers with implementations.
-------------------------------------------------
## Contents
1. [Matrix Factorization](https://github.com/benedekrozemberczki/awesome-graph-classification/blob/master/chapters/matrix_factorization.md)
2. [Spectral and Statistical Fingerprints](https://github.com/benedekrozemberczki/awesome-graph-classification/blob/master/chapters/fingerprints.md)
3. [Deep Learning](https://github.com/benedekrozemberczki/awesome-graph-classification/blob/master/chapters/deep_learning.md)
4. [Graph Kernels](https://github.com/benedekrozemberczki/awesome-graph-classification/blob/master/chapters/kernels.md)
-----------------------------------------------
**License**
- [CC0 Universal](https://github.com/benedekrozemberczki/awesome-graph-classification/blob/master/LICENSE)